Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	3	0.16	0.76	0		0.2	5
bus	0.28	0.01	0.06	0.54		0.02	0.92
truck	1	0.05	0.25	2		0	3
other	0.27	0.01	0.07	0.55		0.02	0.92
NOV			1	6	1	2	11
Total	5	0.23	2	10	1	2	21

Bicycling mean WHW

Strike Mode	Casualty Mode
car	3	0.88	0.7	0		0.19	5
bus	0.26	0.07	0.06	0.51		0.02	0.92
truck	0.97	0.27	0.24	2		0	4
other	0.25	0.07	0.06	0.53		0.02	0.93
NOV			1	6	1	2	11
Total	5	1	2	9	1	2	21

Car mean WHW

Strike Mode	Casualty Mode
car	4	0.16	0.77	0		0.21	5
bus	0.24	0.01	0.05	0.51		0.01	0.84
truck	0.99	0.04	0.24	2		0	3
other	0.27	0.01	0.06	0.59		0.02	0.95
NOV			1	7	1	2	11
Total	5	0.22	2	10	1	2	21

Public Transport mean WHW

Strike Mode	Casualty Mode
car	3	0.13	0.66	0		0.17	4
bus	0.35	0.01	0.07	0.54		0.02	1
truck	1	0.04	0.24	2		0	3
other	0.28	0.01	0.06	0.47		0.02	0.84
NOV			1	6	2	2	10
Total	5	0.2	2	8	2	2	20

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	3	0.14	3	0		0.18	6
bus	0.25	0.01	0.24	0.47		0.02	0.99
truck	1	0.04	0.99	2		0	4
other	0.26	0.01	0.25	0.5		0.02	1
NOV			7	6	1	2	17
Total	5	0.21	12	9	1	2	29

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	11	1	3	0		2	18
bus	1	0.14	0.36	2		0.21	4
truck	4	0.45	1	7		0	12
other	1	0.14	0.37	2		0.21	4
NOV			4	17	5	6	31
Total	18	2	9	28	5	9	70

Bicycling ub WHW

Strike Mode	Casualty Mode
car	10	8	3	0		2	23
bus	1	0.86	0.33	2		0.2	5
truck	4	3	1	7		0	14
other	1	0.84	0.35	2		0.21	5
NOV			4	16	4	6	30
Total	16	13	8	27	4	8	78

Car ub WHW

Strike Mode	Casualty Mode
car	12	1	3	0		2	18
bus	1	0.12	0.31	2		0.19	4
truck	4	0.42	1	7		0	12
other	1	0.13	0.36	3		0.21	5
NOV			4	18	4	6	32
Total	18	2	8	30	4	9	71

Public Transport ub WHW

Strike Mode	Casualty Mode
car	10	1	3	0		2	16
bus	2	0.15	0.4	2		0.23	5
truck	4	0.42	1	6		0	12
other	1	0.12	0.34	2		0.2	4
NOV			4	14	5	6	29
Total	18	2	8	24	5	8	66

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	10	1	11	0		2	24
bus	1	0.13	1	2		0.19	5
truck	4	0.43	4	6		0	15
other	1	0.13	1	2		0.21	5
NOV			25	15	4	6	51
Total	16	2	44	26	4	8	100

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.21	0		0.02	1
bus	0.06	0	0.01	0.14		0	0.21
truck	0.3	0	0.06	0.73		0	1
other	0.06	0	0.01	0.14		0	0.21
NOV			0.34	3	0.42	0.69	4
Total	2	0.03	0.64	4	0.42	0.72	7

Bicycling lb WHW

Strike Mode	Casualty Mode
car	1	0.09	0.19	0		0.02	1
bus	0.06	0.01	0.01	0.13		0	0.2
truck	0.29	0.03	0.06	0.71		0	1
other	0.06	0.01	0.01	0.13		0	0.21
NOV			0.32	2	0.41	0.69	4
Total	2	0.13	0.59	3	0.41	0.72	7

Car lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.21	0		0.02	2
bus	0.05	0	0.01	0.13		0	0.2
truck	0.29	0	0.06	0.76		0	1
other	0.06	0	0.01	0.15		0	0.22
NOV			0.32	3	0.38	0.69	4
Total	2	0.02	0.61	4	0.38	0.72	7

Public Transport lb WHW

Strike Mode	Casualty Mode
car	1	0.01	0.18	0		0.02	1
bus	0.08	0	0.01	0.14		0	0.23
truck	0.33	0	0.06	0.64		0	1
other	0.06	0	0.01	0.12		0	0.19
NOV			0.33	2	0.5	0.69	4
Total	2	0.02	0.59	3	0.5	0.72	7

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	1	0.02	0.79	0		0.02	2
bus	0.06	0	0.05	0.12		0	0.22
truck	0.29	0	0.24	0.67		0	1
other	0.06	0	0.05	0.13		0	0.23
NOV			2	2	0.4	0.69	6
Total	2	0.02	3	3	0.4	0.72	9

Arica

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	6	0.71	0.55	0	0.15	0.18	8
bus	0.75	0.08	0.07	0.44	0	0.02	1
truck	2	0.26	0.23	1	0.06	0	4
other	0.74	0.08	0.07	0.44	0.02	0.02	1
NOV	0.23		1	7	0.23	2	11
Total	11	1	2	9	0.46	3	26

Bicycling mean WHW

Strike Mode	Casualty Mode
car	6	2	0.5	0	0.14	0.17	8
bus	0.69	0.21	0.06	0.41	0	0.02	1
truck	2	0.68	0.22	1	0.06	0	5
other	0.7	0.21	0.07	0.41	0.02	0.02	1
NOV	0.22		1	7	0.22	2	11
Total	10	3	2	9	0.43	3	27

Car mean WHW

Strike Mode	Casualty Mode
car	7	0.72	0.54	0	0.13	0.19	8
bus	0.59	0.06	0.05	0.39	0	0.02	1
truck	2	0.25	0.21	2	0.05	0	4
other	0.75	0.08	0.07	0.48	0.02	0.02	1
NOV	0.22		1	8	0.18	2	11
Total	10	1	2	10	0.38	3	26

Public Transport mean WHW

Strike Mode	Casualty Mode
car	6	0.57	0.47	0	0.17	0.16	7
bus	1	0.11	0.09	0.51	0	0.03	2
truck	2	0.25	0.22	1	0.08	0	4
other	0.74	0.07	0.07	0.37	0.02	0.02	1
NOV	0.24		1	6	0.32	2	10
Total	10	1	2	8	0.6	2	24

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	6	0.62	2	0	0.12	0.17	9
bus	0.65	0.07	0.31	0.36	0	0.02	1
truck	2	0.25	1	1	0.05	0	5
other	0.71	0.08	0.33	0.39	0.02	0.02	2
NOV	0.22		7	6	0.2	2	17
Total	10	1	12	9	0.39	2	34

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	9	2	2	0	1	1	15
bus	2	0.28	0.26	1	0	0.2	4
truck	4	0.72	0.68	3	0.48	0	9
other	2	0.28	0.25	1	0.16	0.2	4
NOV	2		3	10	2	4	21
Total	19	3	6	15	3	6	52

Bicycling ub WHW

Strike Mode	Casualty Mode
car	9	4	1	0	1	1	17
bus	2	0.69	0.23	1	0	0.2	4
truck	4	2	0.64	3	0.46	0	10
other	2	0.7	0.24	1	0.16	0.2	4
NOV	2		3	10	2	4	20
Total	17	8	5	15	3	6	54

Car ub WHW

Strike Mode	Casualty Mode
car	10	2	2	0	0.97	1	15
bus	1	0.21	0.2	1	0	0.17	3
truck	4	0.68	0.63	3	0.39	0	9
other	2	0.27	0.24	1	0.14	0.21	4
NOV	2		3	11	1	4	21
Total	18	3	5	16	3	6	51

Public Transport ub WHW

Strike Mode	Casualty Mode
car	8	1	1	0	1	1	13
bus	3	0.36	0.34	1	0	0.27	5
truck	4	0.67	0.66	2	0.64	0	9
other	2	0.25	0.24	0.97	0.21	0.19	4
NOV	2		3	9	2	4	20
Total	19	3	5	13	5	6	50

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	8	2	7	0	0.91	1	19
bus	2	0.23	1	0.96	0	0.18	4
truck	4	0.68	3	3	0.43	0	11
other	2	0.25	1	1	0.14	0.2	5
NOV	2		18	9	1	4	35
Total	17	3	31	14	3	6	73

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	4	0.29	0.2	0	0.02	0.02	5
bus	0.32	0.03	0.02	0.17	0	0	0.53
truck	1	0.1	0.08	0.71	0.01	0	2
other	0.31	0.02	0.02	0.17	0	0	0.53
NOV	0.03		0.47	5	0.03	1	7
Total	7	0.43	0.78	6	0.06	1	15

Bicycling lb WHW

Strike Mode	Casualty Mode
car	4	0.7	0.18	0	0.02	0.02	5
bus	0.29	0.06	0.02	0.15	0	0	0.53
truck	1	0.25	0.07	0.68	0.01	0	2
other	0.3	0.06	0.02	0.16	0	0	0.54
NOV	0.03		0.44	5	0.03	1	6
Total	6	1	0.73	6	0.06	1	15

Car lb WHW

Strike Mode	Casualty Mode
car	5	0.29	0.19	0	0.02	0.03	5
bus	0.25	0.02	0.02	0.15	0	0	0.43
truck	1	0.09	0.07	0.75	0.01	0	2
other	0.31	0.02	0.02	0.18	0	0	0.54
NOV	0.03		0.43	5	0.02	1	7
Total	7	0.42	0.73	6	0.05	1	15

Public Transport lb WHW

Strike Mode	Casualty Mode
car	4	0.23	0.17	0	0.02	0.02	4
bus	0.45	0.03	0.03	0.19	0	0	0.71
truck	1	0.09	0.07	0.62	0.01	0	2
other	0.31	0.02	0.02	0.14	0	0	0.5
NOV	0.03		0.46	4	0.04	1	6
Total	6	0.37	0.74	5	0.08	1	14

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	4	0.25	0.88	0	0.02	0.02	5
bus	0.27	0.02	0.09	0.14	0	0	0.52
truck	1	0.09	0.37	0.65	0.01	0	2
other	0.3	0.02	0.09	0.15	0	0	0.57
NOV	0.03		3	5	0.03	1	9
Total	6	0.38	4	5	0.05	1	18

Belo Horizonte

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
pedestrian	2	0.07	1	0.37	0.02	0.02		0.02	3
cycle	0.8	0	0.69	0.23	0.01	0.01		0.01	2
motorcycle	40	2	0	9	0.41	0.57		0.53	52
car	62	3	37	0	0.56	0.78		0.73	104
bus	60	3	37	13	0	0.78		0.73	114
rail	3	0.11	2	0.62	0.03	0.04		0.04	5
other	0.43	0.02	0.31	0.11	0	0.01		0.01	0.88
NOV		8	53	71	4	5	0.15	50	191
Total	167	15	131	94	5	7	0.15	52	472

Bicycling mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.21	1	0.34	0.02	0.02		0.02	3
cycle	3	0	2	0.83	0.04	0.05		0.05	7
motorcycle	38	6	0	9	0.39	0.56		0.51	53
car	58	9	36	0	0.54	0.76		0.69	104
bus	57	8	36	12	0	0.76		0.7	114
rail	2	0.37	2	0.6	0.03	0.04		0.03	5
other	0.4	0.06	0.3	0.1	0	0.01		0.01	0.88
NOV		36	52	69	4	5	0.14	48	214
Total	160	59	129	92	5	7	0.14	50	502

Car mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	0.94	0.39	0.01	0.02		0.02	3
cycle	0.67	0	0.56	0.23	0.01	0.01		0.01	2
motorcycle	35	1	0	9	0.34	0.52		0.44	47
car	67	3	38	0	0.57	0.87		0.74	110
bus	52	2	31	13	0	0.71		0.6	99
rail	2	0.09	2	0.64	0.02	0.04		0.03	5
other	0.37	0.01	0.26	0.11	0	0.01		0.01	0.76
NOV		7	48	81	4	5	0.13	44	189
Total	158	13	120	104	5	7	0.13	46	454

Public Transport mean WHW

Strike Mode	Casualty Mode
pedestrian	2	0.06	1	0.34	0.02	0.02		0.02	3
cycle	0.76	0	0.58	0.19	0.01	0.01		0.01	2
motorcycle	37	1	0	7	0.43	0.51		0.43	47
car	57	2	30	0	0.59	0.7		0.58	91
bus	74	3	39	13	0	0.91		0.75	131
rail	3	0.11	2	0.56	0.03	0.04		0.03	5
other	0.39	0.02	0.25	0.08	0	0.01		0	0.76
NOV		7	47	63	5	5	0.15	43	170
Total	173	14	120	84	6	7	0.15	45	450

Motorcycling mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	2	0.34	0.01	0.02		0.02	3
cycle	0.74	0	0.95	0.21	0.01	0.01		0.01	2
motorcycle	59	2	0	13	0.56	0.82		0.73	76
car	57	2	51	0	0.5	0.74		0.65	112
bus	54	2	51	11	0	0.73		0.65	120
rail	2	0.1	3	0.56	0.02	0.04		0.03	6
other	0.39	0.02	0.43	0.1	0	0.01		0.01	0.95
NOV		7	82	66	4	5	0.14	47	212
Total	175	15	189	91	5	7	0.14	49	532

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.11	2	0.6	0.04	0.05		0.04	5
cycle	2	0	1	0.45	0.03	0.03		0.03	3
motorcycle	45	2	0	11	0.93	1		0.95	61
car	68	4	42	0	1	1		1	117
bus	66	4	41	15	0	1		1	128
rail	4	0.18	3	0.93	0.07	0.07		0.07	8
other	1	0.05	0.76	0.26	0.02	0.02		0.02	2
NOV		10	59	78	6	7	1	56	219
Total	188	20	149	107	9	11	1	60	544

Bicycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.36	2	0.57	0.04	0.05		0.04	5
cycle	6	0	5	2	0.1	0.12		0.11	13
motorcycle	42	8	0	11	0.9	0.98		0.91	64
car	64	12	40	0	1	1		1	119
bus	62	11	40	14	0	1		1	130
rail	4	0.59	3	0.89	0.07	0.07		0.07	8
other	0.97	0.15	0.73	0.25	0.02	0.02		0.02	2
NOV		48	58	76	6	7	1	54	251
Total	181	80	147	104	8	11	1	58	592

Car ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.1	2	0.64	0.04	0.04		0.04	5
cycle	1	0	1	0.44	0.02	0.03		0.03	3
motorcycle	39	2	0	11	0.78	0.92		0.79	55
car	73	4	42	0	1	2		1	124
bus	57	3	35	15	0	1		1	112
rail	3	0.15	2	0.95	0.06	0.07		0.06	7
other	0.88	0.04	0.63	0.26	0.01	0.02		0.01	2
NOV		9	54	89	6	7	1	50	216
Total	176	18	136	118	8	11	1	53	522

Public Transport ub WHW

Strike Mode	Casualty Mode
pedestrian	3	0.11	2	0.56	0.05	0.05		0.04	5
cycle	1	0	1	0.37	0.03	0.03		0.03	3
motorcycle	42	2	0	9	0.98	0.9		0.76	56
car	63	3	34	0	1	1		1	103
bus	81	4	44	16	0	2		1	147
rail	4	0.17	2	0.83	0.08	0.07		0.06	8
other	0.94	0.04	0.61	0.21	0.02	0.02		0.01	2
NOV		10	53	69	7	7	1	49	196
Total	194	19	136	96	10	11	1	52	519

Motorcycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.11	2	0.55	0.04	0.05		0.04	6
cycle	1	0	2	0.4	0.03	0.03		0.03	4
motorcycle	66	3	0	15	1	1		1	89
car	62	3	57	0	1	1		1	126
bus	60	3	57	13	0	1		1	135
rail	3	0.16	4	0.82	0.06	0.07		0.06	8
other	0.95	0.04	1	0.23	0.01	0.02		0.02	2
NOV		10	92	73	6	7	1	53	242
Total	196	20	215	104	8	11	1	56	612

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
pedestrian	0.94	0.04	0.67	0.22	0.01	0.01		0.01	2
cycle	0.43	0	0.37	0.12	0	0.01		0.01	0.94
motorcycle	35	1	0	8	0.18	0.32		0.29	45
car	57	2	33	0	0.25	0.44		0.41	93
bus	55	2	33	10	0	0.44		0.41	101
rail	2	0.07	1	0.42	0.01	0.02		0.02	4
other	0.18	0.01	0.13	0.04	0	0		0	0.36
NOV		6	47	64	3	3	0.02	44	168
Total	150	11	116	83	3	5	0.02	45	414

Bicycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.87	0.12	0.63	0.21	0.01	0.01		0.01	2
cycle	2	0	1	0.44	0.01	0.02		0.02	4
motorcycle	33	4	0	7	0.17	0.32		0.28	45
car	53	6	32	0	0.24	0.43		0.39	92
bus	52	6	32	10	0	0.44		0.39	101
rail	2	0.23	1	0.4	0.01	0.02		0.02	4
other	0.17	0.02	0.12	0.04	0	0		0	0.36
NOV		27	46	62	3	3	0.02	43	185
Total	142	43	114	81	3	5	0.02	44	432

Car lb WHW

Strike Mode	Casualty Mode
pedestrian	0.85	0.03	0.58	0.24	0.01	0.01		0.01	2
cycle	0.36	0	0.3	0.12	0	0.01		0	0.79
motorcycle	31	1	0	8	0.15	0.29		0.24	40
car	61	2	34	0	0.25	0.5		0.41	98
bus	47	2	28	11	0	0.4		0.34	88
rail	2	0.06	1	0.43	0.01	0.02		0.02	3
other	0.15	0.01	0.11	0.04	0	0		0	0.31
NOV		5	43	73	2	3	0.02	39	166
Total	142	10	107	92	3	5	0.02	40	398

Public Transport lb WHW

Strike Mode	Casualty Mode
pedestrian	1	0.04	0.63	0.21	0.01	0.01		0.01	2
cycle	0.41	0	0.31	0.1	0	0.01		0	0.83
motorcycle	33	1	0	6	0.19	0.29		0.24	41
car	52	2	27	0	0.26	0.4		0.32	82
bus	67	2	35	11	0	0.52		0.42	116
rail	2	0.07	1	0.38	0.01	0.02		0.02	4
other	0.16	0.01	0.1	0.03	0	0		0	0.31
NOV		5	42	57	3	3	0.02	38	149
Total	156	10	107	75	4	5	0.02	39	395

Motorcycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.88	0.03	0.94	0.2	0.01	0.01		0.01	2
cycle	0.39	0	0.51	0.11	0	0.01		0.01	1
motorcycle	52	2	0	10	0.25	0.47		0.41	65
car	52	2	46	0	0.22	0.42		0.37	100
bus	50	2	45	9	0	0.42		0.36	107
rail	2	0.06	2	0.37	0.01	0.02		0.02	4
other	0.16	0.01	0.18	0.04	0	0		0	0.39
NOV		5	73	60	3	3	0.02	42	187
Total	156	11	168	81	3	5	0.02	43	466

Bogota

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.1	0.02	0.01	4
motorcycle	36	12	0	2	0.47	0.13	51
car	52	18	56	0	0.62	0.17	126
bus	40	13	43	2	0	0.13	98
truck	34	11	41	2	0.45	0	88
NOV	4	8	53	15	6	1	87
Total	167	63	195	21	7	2	455

Bicycling mean WHW

Strike Mode	Casualty Mode
cycle	3	0	3	0.16	0.04	0.01	6
motorcycle	34	16	0	2	0.45	0.13	53
car	48	23	55	0	0.6	0.17	127
bus	37	18	42	2	0	0.13	99
truck	32	15	40	2	0.44	0	90
NOV	4	13	52	14	6	1	90
Total	159	86	192	20	7	2	465

Car mean WHW

Strike Mode	Casualty Mode
cycle	1	0	2	0.11	0.02	0.01	4
motorcycle	33	11	0	2	0.42	0.13	46
car	55	18	59	0	0.64	0.19	133
bus	35	12	39	2	0	0.12	88
truck	32	11	39	2	0.42	0	84
NOV	4	8	50	17	5	1	85
Total	160	60	189	23	7	2	440

Public Transport mean WHW

Strike Mode	Casualty Mode
cycle	2	0	2	0.08	0.03	0.01	3
motorcycle	32	10	0	2	0.47	0.11	43
car	46	14	43	0	0.63	0.15	104
bus	47	14	42	2	0	0.15	106
truck	35	10	35	2	0.52	0	82
NOV	4	7	45	13	7	1	77
Total	165	55	168	18	8	2	416

Motorcycling mean WHW

Strike Mode	Casualty Mode
cycle	1	0	3	0.09	0.02	0.01	4
motorcycle	46	15	0	2	0.58	0.17	65
car	47	16	64	0	0.56	0.16	127
bus	36	12	49	2	0	0.13	99
truck	32	11	49	2	0.42	0	94
NOV	4	8	68	14	5	1	100
Total	166	62	233	20	7	2	490

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline_predicted scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Car scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Baseline scenario

Casualty mode: Pedestrian

Casualty mode: Car

Casualty mode: Motorcycle

Casualty mode: Truck

Casualty mode: Cycle

Casualty mode: Bus

Casualty mode: Other

Casualty mode: Rail

Casualty mode: Auto_rickshaw

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.9845	1.3744898	2.9881	1.329415	3.0348	1.2235283	2.9335	1.6059306	3.0308	1.2797629
car	17.4095	9.6214286	17.4535	9.333034	16.2659	10.2877078	17.9003	8.3687271	17.5445	8.9148168
cycle	95.3573	0.2290816	28.1079	1.291047	100.2637	0.2220374	90.1090	0.1957029	89.7748	0.2095391
motorcycle	187.7058	2.2908163	188.1384	2.129625	193.4303	2.1854170	183.9157	2.1322178	108.8457	11.5242894
pedestrian	112.1353	5.0397959	110.6560	4.653167	119.1532	5.0922095	104.5004	5.0027015	107.4652	4.6674370
truck	11.0045	2.2908163	10.9769	2.285086	11.0630	2.3030142	10.9044	2.2699869	10.9421	2.2778277
active_travel	111.2840	5.2688776	67.5613	5.944215	118.2226	5.3142468	103.8758	5.1984044	106.5630	4.8769761

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	9.8809	4.550505	9.9004	4.404798	10.0502	4.051881	9.7099	5.315678	10.0294	4.234885
car	50.6024	27.965527	50.6914	27.106510	47.1692	29.833183	52.3000	24.451307	50.9456	25.886786
cycle	888.0340	2.133369	282.1092	12.957772	936.3195	2.073510	841.3604	1.827306	838.0472	1.956046
motorcycle	724.9581	8.847600	729.0842	8.252838	749.1152	8.463663	707.5757	8.203247	412.0637	43.628208
pedestrian	392.5462	17.642547	388.5777	16.339973	415.3423	17.750344	367.5836	17.597177	377.3066	16.387212
truck	40.9377	8.522066	40.6615	8.464572	41.4941	8.637902	39.9838	8.323500	40.3110	8.391605
active_travel	417.6873	19.775915	332.9952	29.297745	441.0084	19.823855	388.1448	19.424484	400.8042	18.343259

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9216	0.4244391	0.9219	0.4101792	0.9367	0.3776440	0.9051	0.4955121	0.9364	0.3954108
car	6.4286	3.5527551	6.4490	3.4485130	6.0169	3.8055048	6.5819	3.0771824	6.4825	3.2939299
cycle	10.4410	0.0250829	2.9117	0.1337377	10.9580	0.0242668	9.8449	0.0213816	9.8124	0.0229027
motorcycle	52.2512	0.6376895	52.2577	0.5915286	53.8379	0.6082724	51.2522	0.5941896	30.2446	3.2022197
pedestrian	36.1848	1.6262828	35.6247	1.4980453	38.6394	1.6513169	33.5245	1.6049034	34.5965	1.5025987
truck	3.4466	0.7174856	3.4437	0.7168730	3.4532	0.7188490	3.4355	0.7151643	3.4399	0.7160987
active_travel	34.8785	1.6513657	18.5467	1.6317830	37.2756	1.6755837	32.4968	1.6262851	33.3325	1.5255014

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.6000	0.4581633	3.5855	0.4325353	3.8364	0.3789923	3.2363	0.6014572	3.6026	0.3923871
car	34.5337	9.3923469	34.7856	8.9614836	30.4592	9.9573435	35.6327	8.1480211	34.6999	8.5467800
cycle	108.2140	1.1454082	70.0148	2.8491939	114.1064	1.1161088	104.4493	0.9982593	104.1144	1.0111999
motorcycle	236.8521	2.0617347	236.5323	1.9257213	243.2487	1.9193365	232.2045	1.9674802	167.7497	11.6109320
pedestrian	290.7021	10.5377551	285.8927	9.8409309	303.3322	10.4496418	268.9984	10.2317962	274.7851	9.7187191
truck	22.8131	2.5198980	22.7385	2.5116617	22.8800	2.5272939	22.6651	2.5035506	22.6617	2.5031723
active_travel	249.4591	11.6831633	168.9405	12.6901248	261.4864	11.5657506	235.9553	11.2300555	238.0151	10.7299190

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	27.0522	3.442837	26.9443	3.250450	28.8394	2.849026	24.3087	4.517679	27.0770	2.949157
car	56.2980	15.311702	56.6576	14.596174	49.4080	16.151838	58.7232	13.428068	56.4190	13.896301
cycle	289.6192	3.065521	187.5067	7.630426	303.7830	2.971392	283.0737	2.705437	278.8265	2.708073
motorcycle	633.5126	5.514559	632.2543	5.147481	650.3646	5.131655	622.5742	5.275102	441.6721	30.570694
pedestrian	512.3649	18.572879	505.2946	17.393133	528.5061	18.206769	486.6839	18.511821	487.0537	17.226331
truck	54.9626	6.071087	54.3948	6.008372	55.4235	6.122001	53.9408	5.958224	53.8028	5.942973
active_travel	462.0235	21.638400	333.1326	25.023559	478.8103	21.178161	445.7969	21.217258	442.1924	19.934404

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4796	0.0610374	0.4776	0.0576201	0.5109	0.0504714	0.4313	0.0801609	0.4799	0.0522651
car	22.0532	5.9979400	22.2255	5.7257577	19.5171	6.3802803	22.5860	5.1646634	22.1948	5.4666925
cycle	40.8371	0.4322473	26.4042	1.0744953	43.2572	0.4231111	38.9852	0.3725951	39.2593	0.3813013
motorcycle	89.6470	0.7803533	89.5812	0.7293232	92.0578	0.7263752	87.7839	0.7437972	64.4209	4.4589433
pedestrian	179.9200	6.5219796	176.6309	6.0799481	189.3040	6.5214295	163.1986	6.2075252	169.5677	5.9973467
truck	11.2895	1.2470205	11.2797	1.2459356	11.2991	1.2480788	11.2684	1.2446864	11.2697	1.2448291
active_travel	148.4868	6.9542269	95.2454	7.1544434	157.0069	6.9445406	138.2553	6.5801203	141.4936	6.3786480

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3689	5.1450544	1.3741	5.0496756	1.3968	4.6670020	1.3097	6.0283004	1.4230	4.9519528
car	17.2422	94.0809950	17.3558	91.5675875	16.5183	104.3239377	17.7975	84.3711805	18.0329	91.3925468
cycle	172.9881	14.9941586	124.6806	58.9117213	177.4499	13.1753438	176.4546	13.8475633	181.5227	14.7925255
motorcycle	96.6296	131.2723884	97.1873	128.8505954	99.2478	120.3735068	100.7210	120.2656530	85.6413	189.2944845
other	92.4962	51.7445473	92.7743	50.3846010	93.7002	46.1280750	94.0175	45.0336164	93.4305	48.8749023
pedestrian	233.0073	167.2877693	234.6254	159.8665131	234.8095	157.5977264	229.9193	173.4235733	253.3111	174.7652744
rail	0.1649	0.1470016	0.1651	0.1447179	0.1667	0.1332066	0.1649	0.1470016	0.1661	0.1370746
truck	3.6078	7.2030762	3.6044	7.1962718	3.5926	7.1728065	3.6060	7.1994803	3.6897	7.3666296
active_travel	226.5418	182.2819279	189.6038	218.7782344	229.0962	170.7730701	224.8809	187.2711366	245.7275	189.5577999

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2745	8.548522	2.2881	8.408503	2.3275	7.776597	2.1564	9.925447	2.3909	8.319904
car	19.5726	106.796426	19.7840	104.378738	18.7095	118.162351	20.2206	95.858414	20.5186	103.990453
cycle	236.0063	20.456413	169.6668	80.167779	242.0458	17.971470	240.7215	18.891009	247.8062	20.194061
motorcycle	109.5846	148.871982	111.2112	147.443441	112.4229	136.353076	114.1548	136.306216	97.0770	214.571149
other	106.5314	59.596177	106.8885	58.049816	107.9232	53.129996	108.3294	51.888907	107.8078	56.395842
pedestrian	261.2595	187.571506	265.8229	181.123494	262.8270	176.402331	257.4814	194.213137	284.2884	196.137216
rail	1.4307	1.275719	1.4332	1.255901	1.4464	1.156003	1.4307	1.275719	1.4418	1.189570
truck	5.5809	11.142403	5.5852	11.150946	5.5529	11.086482	5.5769	11.134494	5.7250	11.430073
active_travel	258.5392	208.027919	226.4477	261.291273	260.7571	194.373800	255.9020	213.104145	280.4344	216.331277

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.8477	3.186060	0.8499	3.1234524	0.8630	2.8832720	0.8168	3.759375	0.8734	3.0393797
car	15.2481	83.200419	15.3113	80.7809623	14.6365	92.4390039	15.7241	74.542156	15.9088	80.6274537
cycle	126.9370	11.002569	91.7067	43.3315292	130.2279	9.6691940	129.4828	10.161371	133.1063	10.8470121
motorcycle	85.6188	116.314127	85.6394	113.5404424	88.0054	106.7381251	89.2746	106.598141	75.9040	167.7718846
other	81.0107	45.319326	81.2450	44.1231596	82.0617	40.3985412	82.3199	39.430579	81.7297	42.7540299
pedestrian	208.9322	150.003033	209.0539	142.4428467	210.8214	141.4975694	206.3659	155.657725	226.7860	156.4649918
rail	0.0190	0.016939	0.0190	0.0166759	0.0192	0.0153494	0.0190	0.016939	0.0191	0.0157952
truck	2.3532	4.698267	2.3487	4.6893384	2.3449	4.6817417	2.3524	4.696608	2.3997	4.7911615
active_travel	200.0994	161.005602	161.0011	185.7743759	202.7938	151.1667634	199.1207	165.819095	216.8898	167.3120039

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5206	7.347687	0.5217	7.188424	0.5286	6.899917	0.4985	8.319039	0.5322	7.025212
car	2.0056	20.707117	2.0124	20.232090	1.9123	23.265358	2.0609	17.953526	2.0712	19.868396
cycle	56.8204	63.011979	41.9939	85.499735	58.3877	59.720189	57.0281	55.237961	60.2681	61.687827
motorcycle	38.0593	195.270338	38.0905	191.955653	39.2423	188.692840	39.2024	167.585764	32.3829	233.054062
pedestrian	65.0211	166.992877	65.5821	158.851533	66.6981	159.850575	62.8428	165.376995	68.5363	166.345813
truck	0.3856	1.558600	0.3847	1.553722	0.3863	1.561316	0.3805	1.538096	0.3911	1.580625
active_travel	62.5480	230.004856	54.8096	244.351268	64.2123	219.570765	61.2784	220.614956	66.0837	228.033641

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9274	13.090635	0.9298	12.812184	0.9432	12.311538	0.8862	14.790207	0.9518	12.562476
car	3.1257	32.271686	3.1380	31.548617	2.9709	36.143812	3.2109	27.971840	3.2271	30.955680
cycle	72.9246	80.871064	54.4831	110.927768	74.8779	76.586764	73.2012	70.903304	77.2854	79.106029
motorcycle	48.1641	247.114869	48.3239	243.526475	49.5761	238.382282	49.6043	212.052518	41.2940	297.185205
pedestrian	81.0716	208.215210	81.9588	198.518847	83.0956	199.149301	78.3376	206.153128	85.4689	207.443214
truck	1.1924	4.819295	1.1890	4.801631	1.1951	4.830382	1.1712	4.733669	1.2152	4.911399
active_travel	78.6147	289.086274	69.4110	309.446615	80.6375	275.736065	76.9557	277.056433	83.0415	286.549243

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2979	4.2044935	0.2984	4.1122646	0.3021	3.9429784	0.2857	4.768092	0.3036	4.0067601
car	1.3004	13.4262075	1.3043	13.1125159	1.2438	15.1316814	1.3365	11.642917	1.3429	12.8821225
cycle	44.5902	49.4490892	32.6481	66.4715652	45.8520	46.8984756	44.7502	43.345487	47.3191	48.4337715
motorcycle	30.3498	155.7151871	30.3149	152.7706409	31.3394	150.6928265	31.2614	133.638667	25.6572	184.6506367
pedestrian	52.4173	134.6227474	52.7776	127.8366674	53.8067	128.9546734	50.6765	133.360199	55.2268	134.0420782
truck	0.1304	0.5270966	0.1302	0.5257295	0.1306	0.5277613	0.1292	0.522186	0.1317	0.5323536
active_travel	50.0568	184.0718367	43.5847	194.3082326	51.4273	175.8531490	49.0821	176.705686	52.8812	182.4758497

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4371	3.385700	0.4388	3.269005	0.4416	3.087682	0.4267	4.201261	0.4407	3.141664
car	10.5489	85.488915	10.5726	82.956922	9.9299	102.151379	10.9370	68.633897	11.3952	84.932761
cycle	27.1916	15.235648	20.8676	31.135245	28.4380	14.623533	26.5596	13.254235	32.2042	17.017983
motorcycle	112.9509	207.374100	112.4331	202.506636	120.0019	199.588523	119.7115	159.803897	92.4291	384.641181
pedestrian	128.1978	251.388194	128.0143	238.432325	134.3165	246.651268	117.4425	246.701901	157.6033	293.605637
truck	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275
active_travel	105.7508	266.623843	80.3580	269.567571	111.1538	261.274801	99.9964	259.956137	129.8930	310.623620

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3317	10.315435	1.3369	9.959895	1.3454	9.407444	1.3001	12.800258	1.3428	9.571915
car	14.4724	117.285341	14.5491	114.159050	13.5583	139.477540	15.0232	94.276699	15.8732	118.309411
cycle	58.0389	32.519622	45.5288	67.930719	60.3803	31.049131	56.9616	28.426000	67.5164	35.678320
motorcycle	146.4729	268.919328	147.5805	265.811635	155.0398	257.863894	155.3332	207.355684	120.0359	499.526268
pedestrian	162.5811	318.811740	164.3345	306.080353	169.6608	311.555500	149.0206	313.035316	200.3371	373.216256
truck	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765
active_travel	139.3483	351.331362	111.4925	374.011072	145.7539	342.604631	131.3487	341.461316	170.9868	408.894576

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1435	1.1112437	0.1440	1.0729427	0.1449	1.0134292	0.1401	1.3789246	0.1447	1.0311471
car	7.8181	63.3583943	7.8281	61.4225435	7.3879	76.0007421	8.0974	50.8146761	8.3323	62.1039502
cycle	13.3042	7.4544240	10.0350	14.9726551	13.9737	7.1856400	12.9485	6.4617713	15.9589	8.4332907
motorcycle	88.3076	162.1298344	87.4219	157.4582881	94.0730	156.4632442	93.5310	124.8553401	72.1237	300.1409306
pedestrian	102.3675	200.7364519	101.6781	189.3800077	107.5865	197.5657543	93.7870	197.0106954	125.2261	233.2889375
truck	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883
active_travel	82.5746	208.1908759	60.9174	204.3526629	87.1071	204.7513943	78.2690	203.4724667	101.0806	241.7222282

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1551	0.2783215	0.1554	0.2737918	0.1563	0.2592847	0.1505	0.3659559	0.1566	0.2551713
car	5.3053	11.1328585	5.2948	10.8531113	4.8779	12.5323638	5.3567	10.0029171	5.4461	10.5123255
cycle	107.2446	28.9454320	87.5873	43.9281278	110.7379	26.9637044	105.3956	25.3755652	112.9416	28.4755279
motorcycle	47.4469	153.3551254	47.6197	149.0678145	49.4915	149.1442391	48.5422	138.6067878	45.1108	165.8437643
other	64.6108	0.2783215	64.8004	0.2595841	68.3095	0.2337029	66.0255	0.2134361	67.8588	0.2667164
pedestrian	199.1740	87.9495819	198.5731	83.2921061	203.0138	84.0517866	187.9591	84.4580208	209.4618	86.6513145
active_travel	164.3000	116.8950139	138.1345	127.2202339	168.8420	111.0154910	159.1544	109.8335859	172.9120	115.1268425

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.1462	2.056513	1.1483	2.023043	1.1552	1.915850	1.1118	2.704043	1.1573	1.885457
car	8.2955	17.407749	8.2817	16.975441	7.5953	19.513802	8.3700	15.629758	8.5467	16.497145
cycle	142.9891	38.592916	117.5101	58.935463	147.4298	35.897861	140.9848	33.944195	150.0165	37.823085
motorcycle	56.1983	181.640781	56.6257	177.260115	58.4437	176.121794	57.5263	164.259860	53.3641	196.185867
other	481.2964	2.073263	483.0225	1.934940	508.6593	1.740243	491.8656	1.590021	505.2641	1.985920
pedestrian	239.1672	105.609448	239.3785	100.408021	243.5276	100.825332	226.3283	101.698914	250.7388	103.727029
active_travel	202.6815	144.202363	173.0136	159.343483	207.9405	136.723193	196.5536	135.643109	212.5978	141.550114

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0210	0.0376671	0.0210	0.0370540	0.0212	0.0350907	0.0204	0.0495272	0.0212	0.0345340
car	3.4531	7.2461671	3.4463	7.0640964	3.1858	8.1849219	3.4883	6.5139307	3.5328	6.8190748
cycle	82.6786	22.3150499	67.3028	33.7547367	85.4087	20.7962523	81.0051	19.5031687	87.2897	22.0080272
motorcycle	40.6096	131.2558812	40.6557	127.2677191	42.4188	127.8304217	41.4753	118.4280841	38.6412	142.0592231
other	8.6839	0.0374074	8.7041	0.0348676	9.1830	0.0314173	8.8724	0.0286812	9.1236	0.0358601
pedestrian	167.3862	73.9130115	166.4673	69.8252087	170.6341	70.6459533	157.4701	70.7580205	176.4536	72.9963040
active_travel	135.2519	96.2280614	112.4661	103.5799454	139.0732	91.4422056	130.7930	90.2611892	142.6895	95.0043311

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.1415	0.6872449	7.1698	0.6632030	7.2708	0.5847629	6.8863	0.9535774	7.2188	0.6237826
car	21.1804	5.0397959	21.1919	4.8618903	19.0753	5.2467387	21.8271	4.4360001	22.0024	4.7413315
cycle	334.4041	1.1454082	184.1206	4.2298978	340.6177	1.0845823	333.9546	1.1072763	406.7882	1.3465385
motorcycle	440.3201	2.5198980	440.6939	2.3392298	450.4979	2.2734024	440.5842	2.4750421	288.0012	14.3905294
pedestrian	122.7450	2.5198980	121.3348	2.3651526	123.7199	2.4368290	119.0439	2.6236758	149.0284	2.9681419
truck	9.8249	0.9163265	9.7464	0.9089979	9.8007	0.9140607	9.8073	0.9146842	10.6075	0.9893089
active_travel	153.0095	3.6653061	155.3008	6.5950504	153.9045	3.5214113	147.1473	3.7309520	185.7631	4.3146804

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	22.6605	2.180678	22.7503	2.104392	23.0708	1.855495	21.8507	3.025771	22.9058	1.979307
car	40.0593	9.531939	39.9650	9.168866	35.6678	9.810553	42.0846	8.553000	48.7155	10.497804
cycle	1067.5316	3.656532	586.0603	13.463863	1070.7583	3.409469	1084.5413	3.595959	1782.6380	5.900836
motorcycle	1164.4146	6.663802	1165.7412	6.187824	1185.4961	5.982513	1179.4363	6.625645	764.5520	38.202294
pedestrian	316.5959	6.499566	311.8909	6.079623	313.2312	6.169505	313.6217	6.912090	553.9919	11.033644
truck	44.5747	4.157271	43.8551	4.090160	44.1319	4.115977	44.6455	4.163871	58.1302	5.421533
active_travel	423.9700	10.156097	460.2117	19.543486	418.6524	9.578974	414.4333	10.508048	729.0927	16.934480

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2507	0.2165866	2.2596	0.2090097	2.2914	0.1842891	2.1702	0.3005218	2.2750	0.1965863
car	13.1778	3.1356108	13.1907	3.0262362	11.8938	3.2714415	13.5210	2.7479090	13.3929	2.8860727
cycle	112.6125	0.3857226	62.0494	1.4254920	115.8339	0.3688339	110.5144	0.3664268	117.3481	0.3884421
motorcycle	168.2249	0.9627305	168.2982	0.8933370	172.8810	0.8724305	166.4628	0.9351273	109.4495	5.4688499
pedestrian	52.3656	1.0750418	51.7966	1.0096604	53.3896	1.0515795	49.7083	1.0955504	53.8555	1.0726193
truck	2.6199	0.2443428	2.6107	0.2434863	2.6194	0.2443002	2.6144	0.2438315	2.6595	0.2480411
active_travel	60.9801	1.4607644	57.3432	2.4351523	62.0797	1.4204134	57.6598	1.4619772	62.9042	1.4610615

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1862	1.3744898	3.1767	1.3351378	3.2885	1.2360828	2.9922	1.6698611	3.1704	1.2621913
car	19.7195	13.9739796	19.7876	13.4949435	18.0408	14.6623453	20.7120	12.3836137	20.0407	12.8035529
cycle	117.9160	1.3744898	67.5291	4.6667886	126.0168	1.2965814	111.9056	1.2359981	112.9302	1.2493236
motorcycle	387.8251	5.7270408	385.3059	5.4779990	404.5383	5.2434607	376.4011	5.2889051	243.0420	36.3315092
pedestrian	93.9542	9.6214286	93.3400	8.9883088	98.3250	9.4838181	86.7251	9.2631318	89.7122	8.7728760
truck	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265
active_travel	96.4030	10.9959184	82.5559	13.6550974	100.9942	10.7803996	89.0849	10.4991299	92.0719	10.0221996

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.2972	4.442038	10.2498	4.307864	10.6851	4.016306	9.5599	5.335116	10.2077	4.063804
car	30.0575	21.299836	30.1498	20.561841	27.4301	22.293308	31.7653	18.992377	30.5108	19.492645
cycle	286.8611	3.343801	164.3862	11.360379	305.6738	3.145064	274.3208	3.029875	275.1230	3.043629
motorcycle	732.4165	10.815645	728.2963	10.354387	761.3322	9.868079	716.1008	10.062111	463.7009	69.317037
pedestrian	148.4571	15.202827	147.6663	14.219737	154.5469	14.906633	138.9222	14.838317	142.1458	13.900310
truck	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834
active_travel	162.6012	18.546627	154.6521	25.580115	169.1140	18.051697	151.6113	17.868192	155.6604	16.943939

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0312	0.4448426	1.0296	0.4327321	1.0593	0.3981629	0.9781	0.5458422	1.0295	0.4098708
car	13.2452	9.3860107	13.2942	9.0664928	12.1403	9.8668016	13.8466	8.2788596	13.4715	8.6066461
cycle	48.7832	0.5686425	27.9203	1.9295137	52.2692	0.5377956	45.9831	0.5078838	46.6548	0.5161329
motorcycle	207.6575	3.0664931	206.1177	2.9304315	217.3287	2.8169262	200.1305	2.8120832	128.7048	19.2396297
pedestrian	60.6336	6.2092118	60.1674	5.7939018	63.7296	6.1469592	55.3309	5.9099034	57.7403	5.6463695
truck	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977
active_travel	59.4225	6.7778543	46.6942	7.7234155	62.6249	6.6847547	54.4548	6.4177872	56.6136	6.1625024

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5410	0.4581633	0.5475	0.4449444	0.5708	0.4231221	0.4953	0.5190612	0.5480	0.4287850
car	13.6691	14.6612245	13.9393	14.4086864	12.4561	15.7476229	14.6850	12.9701270	14.1596	13.9075744
cycle	27.2171	0.4581633	14.8600	1.7074944	28.9808	0.4448737	27.1698	0.3899010	27.2409	0.4227410
motorcycle	253.0920	5.9561224	254.4534	5.8398957	267.1164	5.1778553	259.1195	4.6628354	163.5077	37.1742928
other	62.5242	0.2290816	62.9747	0.2248219	65.9336	0.2168407	60.3012	0.2141872	62.9941	0.2111147
pedestrian	126.5077	18.5556122	127.6594	17.7523326	133.1526	18.3450183	118.4370	18.4540476	124.9046	17.6141486
truck	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796
active_travel	116.2855	19.0137755	76.6240	19.4598270	122.7094	18.7898920	110.7402	18.8439486	115.2227	18.0368896

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.0981	3.470292	4.2329	3.439767	4.3140	3.197721	3.7460	3.925826	4.2847	3.352333
car	21.5462	23.110053	23.7284	24.527383	19.4459	24.584539	23.0465	20.355254	25.0479	24.602020
cycle	116.7730	1.965715	63.7766	7.328267	123.8190	1.900702	116.6437	1.673895	124.6942	1.935079
motorcycle	471.5028	11.096076	499.1377	11.455582	495.1246	9.597627	483.6732	8.703662	305.1670	69.381254
other	483.8844	1.772898	502.6573	1.794505	508.1161	1.671079	466.3083	1.656306	511.6387	1.714675
pedestrian	198.8165	29.161569	218.3121	30.358505	205.9679	28.377111	187.2403	29.174495	225.4124	31.787834
truck	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791
active_travel	190.3699	31.127284	148.3934	37.686772	197.7325	30.277814	181.2866	30.848390	215.4277	33.722914

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0721	0.0610392	0.0723	0.0587253	0.0761	0.0564381	0.0660	0.0691949	0.0720	0.0562970
car	9.2896	9.9637949	9.3176	9.6314025	8.5067	10.7546311	9.9498	8.7879364	9.3831	9.2160383
cycle	6.4071	0.1078556	3.4973	0.4018569	6.8407	0.1050086	6.3848	0.0916249	6.2519	0.0970211
motorcycle	138.8949	3.2686728	137.8110	3.1628651	147.1448	2.8522928	141.7727	2.5511885	89.2733	20.2967344
other	8.1875	0.0299980	8.1261	0.0290104	8.6571	0.0284712	7.8928	0.0280350	8.0591	0.0270089
pedestrian	88.6986	13.0099313	87.7685	12.2050933	94.1364	12.9695874	82.2945	12.8225608	84.6883	11.9428143
truck	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329
active_travel	80.2265	13.1177870	49.6404	12.6069502	85.3851	13.0745959	75.8927	12.9141857	76.9125	12.0398354

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.4790	0.6872449	4.2548	0.8114169	3.6805	0.6176248	3.0706	0.7979107	3.9887	0.7139052
car	17.4328	7.3306122	18.7267	7.5802761	15.8756	7.6423651	17.9513	6.5476045	18.5795	7.0668313
cycle	275.9259	0.6872449	120.9377	4.3686947	293.0219	0.6195763	270.5085	0.6427925	302.4437	0.7320911
motorcycle	272.1650	2.5198980	298.8913	2.6281314	278.2487	2.2904626	271.4894	2.3665307	188.8384	16.0202418
pedestrian	115.2262	4.3525510	135.3510	4.8416254	117.7049	4.2382768	109.1930	4.4312196	126.0991	4.6087368
truck	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082
active_travel	125.1667	5.0397959	128.1090	9.2103201	127.4288	4.8578531	118.1162	5.0740122	137.0528	5.3408279

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	13.9337	2.752479	21.7830	4.154119	14.5441	2.440622	12.3465	3.208341	19.3461	3.462572
car	32.4448	13.643280	42.8102	17.328864	29.2065	14.059745	33.6146	12.260691	40.1423	15.268350
cycle	1052.7744	2.622131	461.2419	16.661685	1108.4301	2.343705	1041.9186	2.475846	1393.3193	3.372650
motorcycle	722.0745	6.685482	955.9658	8.405743	734.8928	6.049425	722.8842	6.301267	487.7273	41.376690
pedestrian	270.9249	10.233911	432.1044	15.456755	271.4090	9.772803	260.4561	10.569711	381.9718	13.960505
truck	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593
active_travel	319.2884	12.856041	446.7446	32.118440	317.8343	12.116509	303.6832	13.045557	444.7922	17.333155

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9404	0.1857705	1.0129	0.1931611	1.0009	0.1679600	0.8275	0.2150422	0.9800	0.1753920
car	10.6340	4.4716873	10.8097	4.3755767	9.7245	4.6812740	10.8982	3.9750223	10.9071	4.1485735
cycle	75.2084	0.1873205	32.9578	1.1905517	80.3214	0.1698345	73.0452	0.1735728	75.7279	0.1833059
motorcycle	107.5872	0.9961189	110.6833	0.9732305	110.1275	0.9065373	107.0573	0.9332017	76.2558	6.4692117
pedestrian	54.9830	2.0769266	57.2363	2.0473936	56.7485	2.0433791	51.3350	2.0832521	54.5798	1.9948116
truck	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906
active_travel	56.2341	2.2642471	45.0375	3.2379454	58.0559	2.2132137	52.5359	2.2568250	55.8934	2.1781175

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	318.8052	0.1855476	317.9124	0.185028	344.8292	0.1620989	331.6297	0.141047	339.3649	0.1899169
bus	1.7749	2.7832146	1.7827	2.699365	1.8014	2.6218705	1.7048	3.432062	1.8107	2.6173056
car	3.2225	4.4531434	3.2387	4.342221	2.8892	5.6160938	3.2895	3.866135	3.3000	4.2293737
cycle	157.9430	10.0195726	108.9461	33.129431	166.3555	9.3293996	161.1633	8.385918	167.9922	9.8807942
motorcycle	60.8594	125.9868484	61.2026	124.373850	64.0691	124.3924960	62.6275	112.929728	57.2513	149.9560779
pedestrian	131.3113	75.5178900	132.8043	71.746473	137.7146	74.8417778	124.6352	75.032208	141.9556	77.1565774
truck	2.0845	1.1132858	2.0821	1.112024	2.1082	1.1259592	2.0554	1.097768	2.1305	1.1378905
active_travel	133.9571	85.5374626	124.2116	104.875904	140.3937	84.1711774	127.5412	83.418126	144.4980	87.0373717

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	2370.5278	1.379670	2370.0482	1.379391	2563.6722	1.205143	2465.8841	1.048777	2522.7801	1.411810
bus	3.6606	5.740309	3.6844	5.578951	3.7426	5.447382	3.4613	6.968205	3.7787	5.461811
car	5.6793	7.848071	5.7217	7.671266	5.0566	9.828970	5.8047	6.822284	5.8692	7.522117
cycle	235.3970	14.933097	163.9840	49.865913	247.5272	13.881596	240.3167	12.504559	249.6954	14.686329
motorcycle	70.3491	145.631756	71.6125	145.528538	74.0289	143.729894	72.4087	130.567099	66.1105	173.160679
pedestrian	155.8907	89.653642	159.6737	86.262470	163.3739	88.786453	148.1191	89.169855	168.1845	91.412667
truck	6.6605	3.557302	6.6635	3.558891	6.7584	3.609573	6.5401	3.492983	6.8501	3.658566
active_travel	163.7895	104.586739	161.2261	136.128383	171.2456	102.668049	155.4540	101.674414	176.1438	106.098996

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	42.8905	0.0249627	42.6776	0.0248387	46.3973	0.0218106	44.6151	0.0189755	45.6665	0.0255561
bus	0.9404	1.4746521	0.9439	1.4292328	0.9506	1.3836254	0.9108	1.8337057	0.9533	1.3778704
car	1.9124	2.6426754	1.9201	2.5743222	1.7228	3.3487427	1.9504	2.2922625	1.9458	2.4937846
cycle	106.4855	6.7552158	72.7480	22.1219398	112.3371	6.2999863	108.6004	5.6508744	113.5559	6.6790174
motorcycle	52.9663	109.6471063	52.9596	107.6225951	55.7614	108.2629582	54.4713	98.2224491	49.8710	130.6253452
pedestrian	111.1833	63.9421636	111.7517	60.3730069	116.6566	63.3976563	105.3962	63.4500826	120.3893	65.4347455
truck	0.6788	0.3625425	0.6777	0.3619288	0.6846	0.3656130	0.6718	0.3587929	0.6900	0.3685185
active_travel	110.7166	70.6973794	97.7044	82.4949467	116.2525	69.6976425	105.6511	69.1009570	119.7221	72.1137630

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0460	11.024186	1.0513	10.744651	1.0576	10.229512	1.0174	12.908362	1.0996	10.886419
car	22.2538	288.203709	22.4325	283.719718	21.0193	317.619463	22.8912	248.863192	26.2222	320.413372
cycle	144.3242	32.285115	91.4764	110.702295	149.0444	30.212892	143.9692	28.785893	201.6160	42.140910
motorcycle	120.5972	102.367438	123.1990	102.081773	125.0532	97.126701	124.5499	88.169300	90.3387	285.269276
other	1309.0937	48.821393	1334.9773	47.863830	1327.3804	46.645823	1304.1790	41.911017	1867.0147	67.121024
pedestrian	257.9485	502.387887	263.5486	486.626649	264.1651	482.980082	244.6658	500.355194	377.0509	701.195196
truck	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302
active_travel	246.2425	534.673002	195.4218	597.328945	252.6753	513.192973	235.6975	529.141087	359.3255	743.336106

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.5603	26.98317	2.5920	26.49072	2.6075	25.22032	2.4211	30.71875	3.0362	30.05925
car	26.5824	344.26128	27.0289	341.85356	25.0547	378.59764	27.3618	297.46521	31.7568	388.04266
cycle	239.8509	53.65429	156.4240	189.30021	247.0965	50.08912	239.6551	47.91780	326.8231	68.31115
motorcycle	164.6140	139.73060	171.2345	141.88363	170.3023	132.27098	169.9574	120.31344	123.9462	391.39419
other	1983.9574	73.98979	2051.6334	73.55858	2008.6720	70.58727	1979.9415	63.62728	2758.3575	99.16568
pedestrian	306.0884	596.14648	319.5233	589.98040	312.8552	572.00166	290.5179	594.12540	447.0560	831.38247
truck	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497	4.1148	18.23497
active_travel	299.2644	649.80077	254.9490	779.28061	306.2921	622.09078	285.9880	642.04320	434.9080	899.69363

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5241	5.523495	0.5259	5.374665	0.5289	5.115349	0.5135	6.515138	0.5322	5.268801
car	18.7612	242.971370	18.8240	238.080316	17.7526	268.256661	19.2865	209.674613	21.8044	266.431553
cycle	89.5464	20.031388	55.5173	67.185522	92.6486	18.780857	89.2178	17.838626	127.3045	26.608629
motorcycle	89.2321	75.743612	90.0897	74.647626	92.7006	71.999021	92.1787	65.253648	66.4860	209.947839
other	904.4444	33.730385	912.9196	32.731513	917.9775	32.258889	900.2078	28.929022	1306.3746	46.965458
pedestrian	219.1697	426.861104	221.1852	408.405162	224.7804	410.972115	207.7858	424.933604	319.7417	594.618207
truck	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599
active_travel	205.8154	446.892493	155.5940	475.590684	211.5928	429.752972	197.2259	442.772230	300.2984	621.226836

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2278	0.3384842	0.2287	0.3271478	0.2308	0.3009097	0.2237	0.3992569	0.2298	0.3133187
car	9.1263	13.8778514	9.1056	13.4125351	8.6730	15.7054072	9.4561	11.6902682	9.6900	13.2646705
cycle	91.2523	4.4002943	62.6780	12.8182765	96.7085	4.2529262	88.7073	3.8696846	94.6950	4.2090415
motorcycle	118.9634	46.0338484	118.2610	43.8557017	125.5499	44.6969378	120.2184	36.9418398	101.3417	71.5927529
pedestrian	53.5065	18.6166299	53.1865	17.3711660	57.3802	18.2122461	48.9189	18.2715788	55.3560	18.3785932
truck	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525
active_travel	58.1011	23.0169242	56.8412	30.1894425	62.1662	22.4651724	53.0799	22.1412633	60.0008	22.5876347

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6834	2.501054	1.6898	2.417290	1.7055	2.223417	1.6528	2.950103	1.6979	2.315107
car	15.4149	23.440636	15.3405	22.596560	14.5689	26.382091	15.9711	19.744516	16.5135	22.605487
cycle	212.3404	10.239307	149.8664	30.649166	222.7311	9.794995	207.6336	9.057617	221.4268	9.842061
motorcycle	170.1690	65.848290	168.8498	62.615929	178.1517	63.423679	173.0967	53.190783	144.9133	102.373915
pedestrian	82.8620	28.830353	82.2177	26.853036	87.8596	27.886258	76.0530	28.406384	87.3427	28.998403
truck	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105
active_travel	98.6226	39.069660	108.2662	57.502202	104.2726	37.681252	89.8135	37.464001	103.1742	38.840465

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0308	0.0458093	0.0309	0.0442751	0.0312	0.0407241	0.0303	0.0540341	0.0311	0.0424035
car	5.5665	8.4646953	5.5622	8.1930372	5.3116	9.6185852	5.7671	7.1297060	5.8559	8.0161300
cycle	41.1138	1.9825573	27.5927	5.6429841	43.9697	1.9336467	39.7697	1.7348760	42.3583	1.8827566
motorcycle	85.7738	33.1908722	85.3137	31.6375864	91.0212	32.4044177	86.2054	26.4900065	72.9882	51.5624885
pedestrian	35.7208	12.4284240	35.5367	11.6066006	38.6409	12.2644460	32.5550	12.1595600	36.2986	12.0513899
truck	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218
active_travel	36.3773	14.4109813	32.4778	17.2495847	39.2893	14.1980926	33.3095	13.8944361	37.0141	13.9341465

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	38.1978	7.7887755	38.2948	7.5128334	34.1694	8.2103125	39.4166	6.9716480	38.4617	7.1698625
cycle	33.2999	0.2290816	21.5983	0.5803603	35.1866	0.2145885	33.3197	0.2022379	31.9450	0.2094559
motorcycle	211.3793	1.1454082	211.6462	1.0623443	216.0776	1.0927623	209.2399	1.0829700	140.3245	6.6200923
pedestrian	163.3936	5.7270408	161.9426	5.3696284	169.1647	5.5994635	155.1929	5.7345020	156.2495	5.2573115
truck	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714
active_travel	142.0494	5.9561224	99.1197	5.9499886	148.3205	5.8140520	137.9981	5.9367400	135.9768	5.4667674

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	67.2291	13.708436	67.3498	13.212963	59.9482	14.404514	69.8178	12.348745	67.5736	12.596775
cycle	264.6022	1.820289	171.6998	4.613692	279.0987	1.702108	265.7519	1.613013	254.1054	1.666111
motorcycle	803.7434	4.355272	805.3299	4.042302	819.8233	4.146066	798.4981	4.132813	540.1500	25.482667
pedestrian	318.3215	11.157355	315.9417	10.475872	327.7113	10.847459	305.9203	11.304005	305.3902	10.275437
truck	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948
active_travel	309.5079	12.977644	251.3742	15.089564	320.1482	12.549567	300.2531	12.917018	297.0262	11.941548

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	22.6880	4.6262226	22.7598	4.4651059	20.3550	4.8909623	23.2772	4.1170669	22.8793	4.2650665
cycle	4.2029	0.0289132	2.7248	0.0732164	4.4490	0.0271327	4.1895	0.0254288	4.0278	0.0264091
motorcycle	56.0747	0.3038536	56.1037	0.2816088	57.4586	0.2905837	55.2831	0.2861308	36.7548	1.7339827
pedestrian	86.0083	3.0146415	85.1328	2.8228002	89.5636	2.9646131	80.7138	2.9824410	82.0047	2.7592036
truck	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958
active_travel	72.5867	3.0435547	48.2442	2.8960166	76.3215	2.9917458	69.9172	3.0078697	69.2875	2.7856127

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.4475	0.4581633	1.4410	0.4453585	1.4985	0.4206076	1.3666	0.5104985	1.4413	0.4222599
car	14.9606	6.8724490	15.0086	6.6597375	13.6837	7.1677181	15.4593	6.2832051	14.9888	6.4565350
cycle	188.4476	0.4581633	82.1076	2.9720017	200.8774	0.4186142	181.9683	0.4339837	180.3588	0.4384974
motorcycle	258.3283	0.9163265	259.9850	0.8384616	261.8540	0.9130464	258.4620	0.8056257	139.4085	9.9025494
pedestrian	255.0415	13.5158163	254.2145	12.6547013	264.8378	13.0232368	240.4256	13.6616246	247.0667	12.5582052
truck	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714
active_travel	252.1204	13.9739796	181.7564	15.6267030	262.2375	13.4418510	238.0709	14.0956082	244.0216	12.9967026

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.8850	3.445358	10.8369	3.349381	11.2682	3.162836	10.2750	3.838162	10.8396	3.175589
car	26.4878	12.167700	26.5705	11.790097	24.1430	12.646423	27.4875	11.171898	26.4983	11.414301
cycle	817.6541	1.987922	356.4452	12.902047	869.7674	1.812533	792.1270	1.889176	782.9695	1.903595
motorcycle	1138.0126	4.036689	1146.5082	3.697533	1149.0313	4.006503	1143.9304	3.565629	666.0530	47.311479
pedestrian	428.0681	22.685291	427.5675	21.284149	441.0736	21.689524	408.6305	23.219469	416.2147	21.155867
truck	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948
active_travel	445.1573	24.673212	397.6246	34.186197	458.5023	23.502057	424.0781	25.108645	432.9564	23.059462

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1927	0.0609845	0.1918	0.0592750	0.1995	0.0559867	0.1819	0.0679640	0.1918	0.0562019
car	8.7311	4.0107847	8.7596	3.8869032	8.0091	4.1952941	8.9892	3.6535356	8.7581	3.7726275
cycle	43.5484	0.1058772	18.9646	0.6864495	46.5148	0.0969336	41.9163	0.0999679	41.6577	0.1012802
motorcycle	65.7522	0.2332324	66.1091	0.2132044	66.8940	0.2332496	65.4776	0.2040937	33.4016	2.3725990
pedestrian	162.9879	8.6374759	162.1952	8.0740143	170.3190	8.3753334	152.0653	8.6407575	157.5610	8.0087024
truck	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958
active_travel	157.7487	8.7433531	101.8942	8.7604638	165.2857	8.4722670	147.6284	8.7407254	152.2702	8.1099826

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	32.1309	3.3147384	32.2411	3.1833722	25.7944	3.1634924	35.5112	3.0615393	37.7823	3.3890244
cycle	356.5420	0.2634506	138.2069	1.4435062	348.4106	0.2326665	384.1099	0.2552647	411.3801	0.3026410
motorcycle	69.5688	0.2232507	69.0928	0.2078629	70.6551	0.1681970	76.3259	0.2079363	57.8824	1.5266643
other	208.3415	0.2525746	203.7966	0.2457139	170.5607	0.0937203	206.8668	0.2171932	282.7774	0.2875214
pedestrian	320.6733	2.7678847	319.2996	2.6311990	299.6478	2.4680320	327.3507	3.0550206	367.7802	3.0886393
truck	34.0187	1.3523323	34.0187	1.3523323	34.0187	1.3523323	34.0187	1.3523323	34.0187	1.3523323
active_travel	323.5017	3.0313353	218.0728	4.0747052	303.3049	2.7006986	331.1238	3.3102853	371.2919	3.3912802

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	192.5497	19.864097	192.7355	19.030030	152.0563	18.648568	211.9549	18.273367	259.7727	23.301294
cycle	5149.6107	3.805072	1984.3860	20.725981	4872.8921	3.254088	5485.7348	3.645609	6699.0900	4.928336
motorcycle	836.5265	2.684467	832.7140	2.505185	837.3796	1.993414	913.7543	2.489361	744.7943	19.644167
other	2596.5502	3.147825	2541.4429	3.064172	2584.8037	1.420307	2493.9454	2.618438	3813.8926	3.877876
pedestrian	2140.2949	18.473911	2128.7268	17.541846	1973.7540	16.256712	2169.5159	20.247141	2833.2145	23.793499
truck	170.7059	6.786011	170.7059	6.786011	170.7059	6.786011	170.7059	6.786011	170.7059	6.786011
active_travel	2377.5954	22.278982	2048.0435	38.267827	2191.1816	19.510800	2389.9625	23.892750	3144.5898	28.721835

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	5.9613	0.6149919	5.9916	0.5915926	4.8417	0.5937924	6.5993	0.5689499	6.4764	0.5809272
cycle	26.5677	0.0196310	10.2027	0.1065625	26.7285	0.0178491	28.9546	0.0192421	28.2462	0.0207800
motorcycle	5.9575	0.0191180	5.9023	0.0177568	6.1437	0.0146253	6.5606	0.0178732	4.6869	0.1236195
other	18.6181	0.0225709	18.2027	0.0219467	12.2747	0.0067448	19.2032	0.0201618	23.8817	0.0242824
pedestrian	56.1499	0.4846564	55.9664	0.4611929	53.2193	0.4383377	57.4722	0.5363627	58.5477	0.4916874
truck	7.1394	0.2838114	7.1394	0.2838114	7.1394	0.2838114	7.1394	0.2838114	7.1394	0.2838114
active_travel	53.8172	0.5042874	30.3855	0.5677554	51.2326	0.4561868	55.5765	0.5556048	56.1071	0.5124674

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.7217	5.233301	1.7192	5.125841	1.7769	4.984627	1.6518	5.833617	1.7526	5.027046
car	23.0340	71.218394	23.1351	69.030972	21.6732	80.647069	24.1904	62.950342	23.5841	68.753428
cycle	168.9855	28.214316	127.6933	55.885272	181.7083	26.695136	172.0413	25.257242	173.0797	27.078461
motorcycle	175.6833	43.004078	174.5562	41.923455	182.0665	42.054737	179.6590	37.056662	134.8810	121.359064
other	219.9363	2.502883	218.9060	2.381088	232.3585	2.435841	220.5767	2.294345	226.3174	2.406343
pedestrian	227.4042	121.276050	226.6729	114.770656	241.3746	119.914637	219.0750	124.916765	231.8476	117.874282
truck	6.4803	7.508648	6.4277	7.447701	6.6043	7.652287	6.4175	7.435896	6.5234	7.558585
active_travel	213.4756	149.490366	180.7835	170.655929	227.7571	146.609773	209.4448	150.174008	218.0188	144.952743

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.3471	10.173820	3.3471	9.979537	3.4762	9.751601	3.1842	11.245407	3.4285	9.834331
car	28.0890	86.847749	28.3427	84.569490	26.3644	98.103103	29.5215	76.823547	29.0139	84.582592
cycle	229.3174	38.287521	174.7881	76.496384	245.4505	36.059643	233.3855	34.263143	237.8047	37.204732
motorcycle	228.5128	55.935793	228.5159	54.883040	236.2775	54.576695	233.6568	48.194306	175.6142	158.008743
other	445.2073	5.066475	445.9152	4.850317	469.3890	4.920659	446.1930	4.641111	461.3148	4.904977
pedestrian	275.5772	146.966993	277.3059	140.407534	291.1301	144.633099	265.4556	151.363033	285.9176	145.364170
truck	11.4202	13.232408	11.3642	13.167576	11.6379	13.484688	11.2977	13.090526	11.5515	13.384586
active_travel	264.5476	185.254514	229.7761	216.903918	280.7048	180.692742	258.8892	185.626176	274.5961	182.568903

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9150	2.781338	0.9142	2.725762	0.9390	2.634114	0.8839	3.121807	0.9273	2.659746
car	19.1457	59.196241	19.2214	57.353184	18.0444	67.144253	20.0800	52.254061	19.4767	56.779290
cycle	126.8947	21.186721	95.2069	41.667497	136.9304	20.116724	129.2158	18.970072	128.6150	20.121918
motorcycle	136.6237	33.442996	135.6090	32.569432	141.7703	32.746883	139.6831	28.811176	104.6876	94.192591
other	109.6775	1.248134	109.0314	1.185958	115.9975	1.216015	110.0337	1.144524	112.1247	1.192177
pedestrian	191.6949	102.232074	190.8023	96.608426	204.0408	101.367270	184.5743	105.244440	192.7865	98.015111
truck	3.7090	4.297523	3.6784	4.262124	3.7779	4.377451	3.6758	4.259041	3.7188	4.308957
active_travel	176.2448	123.418795	146.4819	138.275923	188.7244	121.483994	173.2396	124.214512	177.6861	118.137029

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0576	9.678019	1.0576	9.339142	1.1098	8.975772	0.9690	11.035938	1.1736	9.915532
car	13.8070	164.732230	13.8413	158.989484	13.0790	189.025226	14.2895	139.372145	14.9300	165.047236
cycle	257.3022	37.682498	152.4583	193.146720	273.2653	34.912162	254.5026	33.444767	288.3294	40.340836
motorcycle	261.6329	424.391408	260.5002	411.799023	273.9225	404.024976	268.4906	348.372286	215.2792	900.679266
other	22.7871	1.441407	22.8690	1.331177	23.7600	1.417556	22.7801	1.173612	27.3230	1.450531
pedestrian	207.6555	391.444962	206.2957	370.617587	219.9226	383.747809	193.9158	388.664038	241.7482	433.450233
truck	3.2599	14.619985	3.2407	14.534102	3.2937	14.771655	3.2027	14.363549	3.4393	15.424553
active_travel	211.2345	429.127460	184.0311	563.764307	223.5618	418.659971	197.6438	422.108806	245.1199	473.791069

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6026	14.664811	1.6071	14.19078	1.6829	13.610136	1.4655	16.690460	1.7833	15.066228
car	15.2815	182.325381	15.3663	176.50680	14.4566	208.934005	15.8231	154.330160	16.6027	183.538297
cycle	318.3770	46.627041	190.4684	241.30112	337.5503	43.125163	315.0836	41.405855	356.3568	49.858703
motorcycle	282.2773	457.878429	282.7288	446.93808	295.3557	435.638000	289.7733	375.987096	232.1388	971.216003
other	48.7345	3.082714	49.0746	2.85658	50.8010	3.030852	48.7143	2.509722	58.4476	3.102881
pedestrian	225.5070	425.096360	225.7418	405.55317	238.3670	415.931837	210.6597	422.223644	263.6758	472.766103
truck	4.5516	20.413159	4.5311	20.32106	4.6029	20.643291	4.4632	20.016555	4.8292	21.657895
active_travel	232.2020	471.723401	211.1544	646.85429	245.1335	459.057000	217.0850	463.629499	270.3845	522.624806

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.6988	6.3947532	0.6978	6.1616859	0.7328	5.9262859	0.6415	7.3055374	0.7733	6.5331791
car	12.5008	149.1484330	12.5158	143.7643779	11.8562	171.3514756	12.9307	126.1188056	13.4554	148.7460438
cycle	208.4116	30.5223625	122.3361	154.9854051	221.7092	28.3253866	206.0262	27.0743650	233.7481	32.7042322
motorcycle	242.9047	394.0125946	241.2145	381.3120956	254.4330	375.2785936	249.1532	323.2816439	199.9444	836.5217342
other	10.6605	0.6743341	10.6748	0.6213666	11.1182	0.6633277	10.6579	0.5490887	12.7785	0.6783864
pedestrian	191.8638	361.6766457	189.9436	341.2404610	203.5434	355.1674576	179.0984	358.9654650	222.2852	398.5535508
truck	2.3464	10.5232198	2.3318	10.4577046	2.3686	10.6229093	2.3094	10.3570196	2.4623	11.0429930
active_travel	193.0568	392.1990082	161.9844	496.2258661	204.7827	383.4928442	180.7553	386.0398300	223.1150	431.2577830

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	16.7323	8.0178571	16.7515	7.7545064	15.3606	8.7644219	17.5201	6.7402399	16.8003	7.4246532
cycle	78.3794	2.0617347	41.9814	3.0896940	83.7817	1.9522379	75.6729	1.7454868	77.0020	1.8973626
motorcycle	146.7659	1.8326531	147.3323	1.7399277	149.3268	1.7079457	144.7514	1.6947399	76.9378	8.5517640
pedestrian	104.2327	9.1632653	102.4372	8.5080247	110.0140	9.1890462	98.2050	9.0875941	100.4020	8.5269724
truck	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633
active_travel	98.2786	11.2250000	74.0346	11.5977188	104.2921	11.1412840	93.7092	10.8330809	95.1397	10.4243349

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	55.4411	26.566565	55.4872	25.685852	50.8498	29.013697	58.1965	22.389040	55.6750	24.604774
cycle	251.6118	6.618535	137.0243	10.084538	267.8817	6.242042	245.0157	5.651584	246.5000	6.073866
motorcycle	603.3979	7.534577	605.8622	7.154957	617.5953	7.063830	596.3365	6.981871	331.6832	36.867139
pedestrian	318.0328	27.958763	313.5254	26.040170	332.4763	27.770468	303.5951	28.093772	307.3475	26.102498
truck	14.1535	2.695672	14.1535	2.695672	14.1535	2.695672	14.1535	2.695672	14.1535	2.695672
active_travel	302.7357	34.577298	230.6037	36.124708	318.3868	34.012510	291.9068	33.745356	293.6638	32.176364

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	5.3537	2.5654353	5.3589	2.4807299	4.9210	2.8078116	5.5950	2.1524940	5.3734	2.3747076
cycle	25.6534	0.6748007	13.5473	0.9970361	27.5028	0.6408560	24.5913	0.5672274	25.2545	0.6222829
motorcycle	37.2033	0.4645543	37.3421	0.4409936	37.5957	0.4300060	36.6719	0.4293522	18.7699	2.0863006
pedestrian	37.6655	3.3112339	36.9060	3.0652648	40.0183	3.3425750	35.1712	3.2546385	36.2372	3.0775632
truck	0.4188	0.0797619	0.4188	0.0797619	0.4188	0.0797619	0.4188	0.0797619	0.4188	0.0797619
active_travel	34.8991	3.9860347	25.9319	4.0623009	37.2884	3.9834310	33.0602	3.8218659	33.7674	3.6998461

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1895	0.4458507	3.1652	0.4234903	3.2462	0.3813619	3.0443	0.5415987	3.2026	0.4042502
car	14.2384	3.3322651	14.3844	3.2105610	12.6634	3.4624536	14.4884	2.9133392	14.2438	3.0784470
cycle	82.9757	0.9811944	49.1124	1.7252025	83.5238	0.8954032	83.8759	0.9186798	82.5521	0.9117714
motorcycle	118.0235	0.6971671	118.0230	0.6313930	116.2287	0.6645132	121.4312	0.6804225	65.4847	3.1255875
pedestrian	77.7249	2.3948036	78.1424	2.2631110	76.4879	2.1944501	78.5295	2.6300577	76.5424	2.2662004
active_travel	79.1812	3.3759980	62.2309	3.9883136	78.4018	3.0898533	79.8471	3.5487375	78.1752	3.1779718

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	24.7608	3.461202	24.6779	3.301841	24.9848	2.935234	24.7144	4.396885	24.8935	3.14221
car	84.4726	19.769387	85.2781	19.033825	74.6342	20.406656	86.0396	17.300960	84.5306	18.26925
cycle	633.2226	7.487906	403.2566	14.165436	636.7530	6.826205	637.8758	6.986553	627.7382	6.93324
motorcycle	1100.7230	6.501993	1093.5333	5.850124	1085.0411	6.203494	1118.5425	6.267592	654.9217	31.25946
pedestrian	402.9983	12.416893	403.8701	11.696637	396.8405	11.385424	404.9885	13.563604	395.0946	11.69761
active_travel	466.8503	19.904798	403.5338	25.862074	462.1008	18.211629	462.3813	20.550157	458.3020	18.63085

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5062	0.0707632	0.5006	0.0669763	0.5187	0.0609398	0.4665	0.0829924	0.5080	0.0641245
car	2.7121	0.6347153	2.7425	0.6121283	2.4352	0.6658387	2.7527	0.5535259	2.7145	0.5866647
cycle	12.4319	0.1470087	6.9890	0.2455072	12.5306	0.1343322	12.5896	0.1378919	12.4230	0.1372100
motorcycle	15.3500	0.0906726	15.5074	0.0829604	15.0974	0.0863160	15.9801	0.0895420	7.9987	0.3817775
pedestrian	16.1109	0.4963990	16.2494	0.4706056	15.8707	0.4553326	16.3329	0.5470097	15.9312	0.4716763
active_travel	15.0906	0.6434076	11.1737	0.7161128	14.9621	0.5896648	15.4104	0.6849015	14.9780	0.6088864

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.6208	10.325895	3.6109	10.036140	3.8023	9.940206	3.3038	11.013514	3.8086	9.957306
car	20.1294	22.290821	20.3740	21.479464	16.4942	25.537586	20.8443	17.124905	21.9804	22.388541
cycle	218.9227	8.195155	120.9851	30.020164	240.6879	8.126056	208.1743	6.271682	235.8783	8.166965
motorcycle	108.2008	23.110336	106.5820	22.744595	117.1827	21.955051	107.4817	16.492601	80.9917	57.246593
pedestrian	184.2331	112.437521	183.4475	105.060196	200.4637	113.404213	164.5694	99.525325	196.7948	113.742491
truck	14.7151	4.917093	14.6739	4.903308	14.8446	4.960336	14.4807	4.838761	14.8525	4.962982
active_travel	186.2379	120.632676	164.5655	135.080360	202.7291	121.530269	166.6385	105.797007	199.0038	121.909456

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.2201	14.887001	5.2513	14.595438	5.4895	14.35085	4.7392	15.798414	5.5224	14.437853
car	26.2924	29.115603	27.0762	28.545362	21.5008	33.28920	27.2019	22.348022	28.9406	29.477984
cycle	298.1956	11.162653	164.8199	40.896948	327.0943	11.04329	283.9012	8.553109	324.0573	11.220046
motorcycle	139.9595	29.893580	140.3217	29.944649	150.9450	28.28066	139.4331	21.395411	105.3967	74.496505
pedestrian	214.1139	130.673807	217.7107	124.682719	231.6662	131.05576	191.9229	116.067696	232.0671	134.128973
truck	24.2739	8.111185	24.2244	8.094645	24.6223	8.22760	23.6303	7.896115	24.6666	8.242393
active_travel	218.9732	141.836460	201.7222	165.579667	237.0407	142.09905	196.2875	124.620805	237.2663	145.349019

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.5259	7.203449	2.5157	6.992247	2.6480	6.922415	2.3157	7.719590	2.6426	6.908907
car	15.5293	17.196769	15.6716	16.521950	12.7451	19.732929	16.0830	13.213223	16.8196	17.131890
cycle	161.0458	6.028587	88.9833	22.079531	177.4228	5.990112	152.9658	4.608412	172.0944	5.958534
motorcycle	84.4837	18.044663	82.9163	17.694342	91.8111	17.201494	83.6579	12.836945	62.8652	44.434394
pedestrian	160.9879	98.250982	159.7060	91.463458	175.9039	99.510466	143.3802	86.710913	169.5092	97.972061
truck	9.3309	3.117948	9.3134	3.112079	9.3788	3.133954	9.2453	3.089320	9.3788	3.133944
active_travel	160.9912	104.279569	138.3270	113.542989	175.9894	105.500579	143.8351	91.319324	169.6553	103.930595

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.2254	15.95592	5.2354	15.46116	5.5118	15.71304	4.9670	19.96284	5.3235	13.69853
car	47.3674	33.24149	47.1116	32.33756	36.2805	56.31064	49.1223	30.32793	48.7879	28.57603
cycle	105.9265	25.26353	77.3923	49.56183	125.2599	27.38381	107.8698	23.47481	106.1548	22.33088
motorcycle	46.4110	398.89792	46.3104	387.47077	54.6388	438.73062	48.4627	366.31888	43.1071	403.45888
other	991.2027	15.95592	990.8817	15.19787	1126.5669	16.76539	1005.1078	14.66413	991.6509	13.87662
pedestrian	714.9708	393.57928	714.3061	372.77208	830.8452	442.72132	697.2599	406.35734	702.4436	362.27341
truck	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660
active_travel	530.8637	418.84281	363.3719	422.33391	625.5786	470.10513	537.0126	429.83214	529.6889	384.60429

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	11.8465	36.17391	11.8820	35.09017	12.7284	36.28587	11.1498	44.81193	12.0749	31.07154
car	85.0029	59.65331	84.9851	58.33403	65.2491	101.27252	88.0816	54.38129	87.4569	51.22522
cycle	172.7419	41.19906	126.1867	80.80969	204.0452	44.60754	176.0190	38.30557	173.0834	36.41009
motorcycle	57.5412	494.56104	57.9691	485.01715	67.4139	541.31030	60.1008	454.28880	53.4386	500.15575
other	2278.3809	36.67631	2289.1138	35.10980	2539.6301	37.79437	2308.9789	33.68710	2283.7423	31.95744
pedestrian	879.7333	484.27825	887.1728	462.98534	1018.9513	542.95486	858.5514	500.35672	863.6079	445.39117
truck	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721
active_travel	666.0179	525.47730	467.8758	543.79503	781.8814	587.56240	672.9800	538.66229	663.5516	481.80126

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.4188	7.385980	2.4240	7.158532	2.5138	7.166302	2.3169	9.311704	2.4631	6.338076
car	26.5951	18.663888	26.4173	18.132918	20.3187	31.536515	27.5969	17.038244	27.4130	16.056343
cycle	65.1250	15.532358	47.5869	30.474529	77.0653	16.847709	66.2892	14.425976	65.2736	13.731065
motorcycle	37.9161	325.885047	37.7761	316.065968	44.7572	359.384601	39.5640	299.056020	35.2123	329.567876
other	469.5758	7.559011	468.5998	7.187256	540.0373	8.036750	476.2616	6.948471	469.2049	6.565798
pedestrian	587.1891	323.237641	585.8046	305.711535	683.3515	364.128309	572.1556	333.447576	577.0905	297.624700
truck	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291
active_travel	429.3751	338.769999	289.2511	336.186064	506.9726	380.976017	434.6173	347.873552	428.8088	311.355765

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.7408	20.305130	5.8225	20.138646	6.3214	19.573502	4.9586	22.012412	6.0086	19.755832
car	28.7087	188.431605	29.3136	187.447199	27.7005	206.687237	30.1328	166.355287	30.2421	187.001715
cycle	474.2283	7.715949	186.4177	63.492035	518.2617	7.714745	445.9313	7.023981	498.8125	7.097137
motorcycle	358.5631	47.717055	368.3391	45.055619	395.0557	43.421691	350.5016	39.978451	212.6962	221.929489
other	117.1919	2.030513	119.2414	1.972113	129.8900	1.807239	110.2037	1.909432	121.8529	1.951326
pedestrian	489.3325	331.988873	494.7662	322.121475	531.3129	334.674302	455.3555	309.819854	499.9741	325.419866
truck	3.0095	6.294590	3.0291	6.335491	3.1710	6.632304	2.8247	5.907966	3.0731	6.427495
active_travel	488.9788	339.704822	388.8612	385.613510	531.0116	342.389047	455.1423	316.843836	499.9493	332.517003

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.6179	26.94441	7.8804	27.256364	8.3387	25.81976	6.6285	29.425428	8.0448	26.450757
car	31.9548	209.73736	33.3403	213.196085	30.7557	229.48377	33.5803	185.387893	34.1181	210.969123
cycle	662.7475	10.78326	260.4996	88.723609	723.2967	10.76686	623.7700	9.825166	702.8768	10.000577
motorcycle	428.8632	57.07249	450.6467	55.123565	470.5868	51.72353	420.4338	47.954965	256.6588	267.800487
other	222.3949	3.85330	229.0189	3.787703	246.2451	3.42616	209.2358	3.625301	232.3549	3.720882
pedestrian	532.0160	360.94763	549.9993	358.081450	575.4062	362.44871	496.7445	337.980537	552.8266	359.820101
truck	4.9630	10.38039	5.0690	10.601974	5.1910	10.85734	4.6967	9.823436	5.0915	10.649036
active_travel	535.0778	371.73088	450.5681	446.805059	578.8205	373.21556	499.6186	347.805703	556.0365	369.820678

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.3822	15.499978	4.3927	15.193457	4.8500	15.0174190	3.7616	16.698515	4.5468	14.949470
car	25.9230	170.147104	26.1899	167.472453	25.0661	187.0304722	27.1727	150.013439	27.0114	167.025113
cycle	339.5794	5.525139	133.4980	45.468100	371.5771	5.5312262	319.0312	5.025145	354.5762	5.044933
motorcycle	303.9327	40.446923	308.4202	37.726272	335.8845	36.9180129	296.3746	33.804691	179.3646	187.150905
other	61.8012	1.070792	62.3689	1.031509	68.5600	0.9539177	58.0887	1.006467	63.9675	1.024362
pedestrian	451.9891	306.653172	452.0807	294.330795	492.4122	310.1707063	419.2431	285.249326	455.6228	296.552778
truck	2.0143	4.212908	2.0060	4.195599	2.1282	4.4512857	1.8858	3.944319	2.0427	4.272328
active_travel	449.3565	312.178311	342.6607	339.798894	489.6225	315.7019324	416.9757	290.274472	453.4612	301.597710

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9742	7.476387	0.9718	7.237916	1.0174	7.180194	0.8955	9.295213	0.9878	6.723061
car	12.5375	123.734206	12.5467	120.455848	11.7488	142.358348	13.0391	111.495589	12.9164	111.488393
cycle	93.7394	101.678865	74.4949	163.376648	101.6576	99.225450	95.0770	89.202782	95.3425	89.890486
motorcycle	65.6445	758.479472	65.4800	727.544172	70.1117	745.935634	67.2394	669.590133	59.5526	862.006978
pedestrian	416.1992	869.503820	414.9752	819.077306	445.1226	871.483409	404.0335	845.202901	414.5099	802.275552
truck	15.5967	49.717974	15.4600	49.282368	15.9640	50.888912	15.3861	49.046762	15.4046	49.105829
active_travel	305.9952	971.182685	235.7745	982.453953	330.8567	970.708860	308.3715	934.405683	309.9633	892.166038

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.9419	14.90248	1.9370	14.42699	2.0279	14.31175	1.7849	18.52660	1.9691	13.40217
car	14.8784	146.83770	14.8868	142.92195	13.9298	168.78540	15.4854	132.41332	15.3415	132.42038
cycle	108.3818	117.56143	86.1273	188.88783	117.4463	114.63635	109.9801	103.18510	110.3227	104.01398
motorcycle	71.0939	821.44420	70.9185	787.97193	75.8560	807.05118	72.8969	725.92940	64.5340	934.11069
pedestrian	449.5459	939.17024	448.2000	884.65637	479.9996	939.76733	436.8494	913.85094	448.3927	867.85497
truck	20.3956	65.01577	20.2096	64.42267	20.8915	66.59644	20.1116	64.11024	20.1378	64.19398
active_travel	332.9495	1056.73166	257.6348	1073.54420	359.3833	1054.40368	335.6411	1017.03604	337.6543	971.86895

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4888	3.750821	0.4875	3.63122	0.5104	3.602306	0.4493	4.663631	0.4955	3.372566
car	10.5759	104.374776	10.5855	101.62676	9.9194	120.191601	10.9910	93.982045	10.8863	93.965400
cycle	81.0817	87.949090	64.4388	141.32224	87.9982	85.892824	82.1999	77.121280	82.4036	77.691407
motorcycle	60.6289	700.526943	60.4745	671.92864	64.8192	689.628006	62.0375	617.787756	54.9706	795.682677
pedestrian	386.1749	806.778652	385.0653	760.04126	413.6395	809.844257	374.5250	783.473657	384.0445	743.310361
truck	11.9393	38.059314	11.8390	37.73937	12.2114	38.926683	11.7833	37.561809	11.7963	37.603420
active_travel	281.9061	894.727741	216.3140	901.36350	305.3033	895.737081	284.0126	860.594937	285.2388	821.001768

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.9785	3.364374	1.9864	3.224167	2.0556	3.156327	1.9192	4.011435	2.0253	2.932734
car	71.6483	8.074498	71.7025	7.727964	56.3726	27.576121	73.8973	5.880706	75.2492	7.870325
cycle	159.9198	15.924705	119.4624	29.182443	227.5466	21.154623	153.1216	12.385897	180.9553	15.660343
motorcycle	103.9741	117.753097	103.7043	113.355938	141.8446	145.967923	107.5932	89.862289	95.9309	150.084834
other	16.2545	2.018625	15.9804	1.971744	22.6309	2.491687	15.5350	1.579892	19.1823	1.537186
pedestrian	342.3609	116.631639	340.6975	108.881919	483.6634	156.587457	307.7363	105.231877	378.5763	120.253429
truck	176.3293	7.177332	175.6625	7.150189	189.1378	7.698689	173.1165	7.046555	178.6335	7.271122
active_travel	301.0947	132.556343	244.8528	138.064362	426.5251	177.742080	278.1588	117.617773	336.2628	135.913772

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.4724	7.605404	4.4816	7.274259	5.0226	7.711990	4.2144	8.808556	4.6757	6.770730
car	120.2296	13.549432	120.2902	12.964666	94.0538	46.008873	123.9964	9.867566	126.5585	13.236761
cycle	213.3598	21.246227	159.3583	38.928265	304.4907	28.307980	204.4162	16.535076	241.1963	20.873763
motorcycle	121.9661	138.129480	121.6132	132.931598	167.2345	172.095922	126.2365	105.433192	112.4295	175.897008
other	33.9575	4.217129	33.3825	4.118907	47.3233	5.210361	32.4564	3.300769	40.0674	3.210817
pedestrian	406.2873	138.409360	404.2600	129.195551	575.0251	186.166071	366.0544	125.174028	448.0584	142.324183
truck	298.8338	12.163772	296.8366	12.082475	337.2404	13.727078	289.2458	11.773502	305.6898	12.442837
active_travel	362.6492	159.655587	298.1623	168.123816	514.6703	214.474051	335.1333	141.709104	403.7663	163.197946

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0467	1.7798978	1.0514	1.7066168	1.0638	1.633492	1.0232	2.1385898	1.0653	1.5426390
car	42.7997	4.8233685	42.8425	4.6174898	33.8642	16.565573	44.1465	3.5131548	44.8500	4.6908658
cycle	119.8825	11.9378187	89.5677	21.8797256	170.0670	15.810838	114.7186	9.2795038	135.7771	11.7505036
motorcycle	88.6805	100.4327391	88.4763	96.7106605	120.3629	123.861753	91.7539	76.6331699	81.8915	128.1200288
other	7.7808	0.9662861	7.6501	0.9439097	10.8227	1.191595	7.4360	0.7562288	9.1838	0.7359488
pedestrian	291.7597	99.3934050	290.4162	92.8127527	410.0993	132.770852	261.9707	89.5821087	323.1666	102.6527483
truck	109.5964	4.4610263	109.3738	4.4519639	113.8680	4.634897	108.5198	4.4172047	110.3708	4.4925471
active_travel	252.8830	111.3312237	203.4035	114.6924783	356.5494	148.581690	233.8016	98.8616125	283.0439	114.4032519

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	60.8717	7.4739810	60.8618	7.0655719	72.3618	7.5272325	52.9652	9.0193134	62.1992	5.9903494
car	34.3764	1.9668371	34.4554	1.8708332	29.5170	3.1433290	37.5675	1.5991158	35.9305	1.5781550
cycle	90.1872	1.5734697	68.6382	2.7741536	105.4390	1.6890972	89.7365	1.4836250	87.0860	1.3859909
motorcycle	158.1984	29.8959240	157.7626	28.2118567	185.0626	30.3993710	165.8556	24.5313742	139.7390	33.0440778
other	944.2593	2.7535720	927.9133	2.7059050	1307.8646	1.5431918	1045.9605	1.8159822	1128.5555	1.2365035
pedestrian	274.7307	14.9479620	273.1192	14.0650000	318.0735	16.3371460	269.6336	14.5421738	262.7634	13.3901600
truck	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674
active_travel	229.9235	16.5214317	183.2041	16.8391536	267.5213	18.0262432	227.4253	16.0257989	220.9545	14.7761509

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	126.3914	15.518671	126.1745	14.647852	146.2642	15.214729	111.1669	18.930351	129.7942	12.500369
car	130.9258	7.490879	131.1315	7.120082	114.6566	12.210016	140.8380	5.994979	136.4504	5.993226
cycle	262.8892	4.586549	199.7214	8.072151	305.2421	4.889876	261.0403	4.315812	254.8538	4.056048
motorcycle	226.3313	42.771502	225.0396	40.242663	264.3827	43.428930	238.1814	35.228943	198.5030	46.939990
other	2187.2290	6.378219	2144.9314	6.254874	3009.3025	3.550773	2417.8896	4.197906	2622.4641	2.873307
pedestrian	444.3917	24.179136	440.2592	22.672318	508.3876	26.112211	434.6980	23.444608	427.9274	21.806750
truck	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586
active_travel	400.3229	28.765685	334.4891	30.744469	460.0913	31.002087	393.9536	27.760421	386.7381	25.862798

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	33.9936	4.1738200	34.0332	3.9509796	40.6766	4.2312714	29.6029	5.0410017	34.6062	3.3328960
car	10.5659	0.6045224	10.5998	0.5755424	8.9776	0.9560430	11.6552	0.4961222	11.0517	0.4854167
cycle	31.4156	0.5480992	23.9381	0.9675061	36.8781	0.5907754	31.2921	0.5173571	30.2490	0.4814190
motorcycle	114.0822	21.5589615	113.9647	20.3797098	132.9838	21.8446353	119.1787	17.6274972	101.4343	23.9861576
other	416.5727	1.2147752	409.9006	1.1953187	578.8183	0.6829664	461.8586	0.8018725	496.9228	0.5444542
pedestrian	176.5824	9.6077603	175.9434	9.0606710	205.4047	10.5501633	173.4401	9.3541602	168.4042	8.5817081
truck	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370
active_travel	141.3359	10.1558594	109.1031	10.0281771	165.3388	11.1409387	140.0886	9.8715173	135.5250	9.0631271

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.0348	33.436231	3.0429	32.663195	3.2326	33.263574	2.8201	34.198235	3.0492	31.527419
car	13.5455	68.839299	13.5430	67.717436	12.6620	77.917937	14.2864	60.400944	13.6673	65.267686
cycle	48.3105	9.834186	32.6551	23.585706	51.4479	9.764190	48.8458	8.496937	48.1792	9.147320
motorcycle	68.9229	158.330387	68.7374	154.936563	73.1326	153.877864	69.8180	133.440444	60.8442	208.682041
other	173.1908	8.850767	172.5481	8.678959	184.0232	8.494899	173.7875	7.591910	170.0274	8.635159
pedestrian	254.0872	449.422279	255.7785	426.879512	269.2281	449.128993	246.5273	426.575584	252.2109	420.495915
truck	2.9925	4.917093	2.9925	4.917093	2.9925	4.916529	2.9925	4.917093	2.9925	4.917093
active_travel	232.8492	459.256464	188.3839	450.465218	246.9826	458.893182	228.4694	435.072521	231.3518	429.643234

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.0148	55.25121	5.0757	54.48439	5.3084	54.62468	4.6791	56.74194	5.0465	52.17874
car	19.5909	99.56232	19.8234	99.12059	18.3123	112.68796	20.5829	87.02193	19.8006	94.55717
cycle	92.5169	18.83293	62.5297	45.16314	98.4217	18.67927	93.5048	16.26555	92.4184	17.54659
motorcycle	87.5467	201.11315	88.4152	199.29096	92.5685	194.77292	88.6698	169.47118	77.3922	265.43770
other	345.3191	17.64723	346.7750	17.44236	366.3521	16.91159	346.2386	15.12544	339.3743	17.23576
pedestrian	300.6766	531.82836	306.3853	511.33941	317.5689	529.77157	291.3671	504.16357	299.6442	499.57851
truck	7.3194	12.02689	7.3194	12.02689	7.3195	12.02551	7.3194	12.02689	7.3194	12.02689
active_travel	279.1927	550.66129	232.7286	556.50255	295.1838	548.45083	273.2926	520.42912	278.4585	517.12510

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.8806	20.720318	1.8817	20.199333	2.0132	20.716045	1.7409	21.111817	1.8861	19.500981
car	9.5097	48.329147	9.4859	47.431147	8.8852	54.676824	10.0574	42.521502	9.5766	45.732597
cycle	25.2715	5.144323	17.0834	12.338735	26.9353	5.111988	25.5596	4.446194	25.1647	4.777785
motorcycle	55.8506	128.300704	55.5820	125.283867	59.3580	124.894961	56.5553	108.092021	49.2816	169.024942
other	87.3873	4.465854	86.9003	4.370978	92.9438	4.290484	87.7236	3.832205	85.6923	4.352046
pedestrian	217.2890	384.334659	218.3292	364.378869	230.6929	384.844254	210.8969	364.922921	215.0013	358.458527
truck	1.2235	2.010313	1.2235	2.010313	1.2235	2.010082	1.2235	2.010313	1.2235	2.010313
active_travel	197.4711	389.478982	157.5428	376.717604	209.8798	389.956241	193.9666	369.369115	195.5933	363.236312

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.2700	0.9834186	10.0958	0.9086892	11.2264	0.915474	8.2552	1.045900	11.8024	0.8824707
cycle	1208.0065	2.6224495	832.1633	16.1684445	1225.1761	2.538826	1170.9300	2.541961	1403.0156	1.7074899
motorcycle	214.6317	19.9961773	214.1271	18.6959779	235.3091	17.495752	219.2540	16.431953	193.6330	25.4488205
pedestrian	550.5646	14.4234721	535.6025	13.3185927	570.2174	14.306885	499.6150	13.716474	591.9737	14.2582304
truck	78.5533	1.6390309	77.3531	1.6139892	79.2558	1.653690	75.9920	1.585590	79.9932	1.6690753
active_travel	600.8752	17.0459216	665.6821	29.4870372	620.1840	16.845711	548.8084	16.258435	630.9830	15.9657203

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	36.0446	3.451483	35.4689	3.192432	39.3819	3.211454	29.1092	3.688030	41.2933	3.087531
cycle	3532.0785	7.667755	2359.3051	45.839912	3575.7694	7.409757	3406.8627	7.395925	4258.5812	5.182754
motorcycle	369.5604	34.430126	368.8601	32.206102	404.8485	30.101376	378.9871	28.403125	332.6091	43.714191
pedestrian	983.1468	25.756087	957.9883	23.821874	1015.7276	25.484838	898.9343	24.679420	1052.4154	25.348391
truck	296.1554	6.179345	290.8719	6.069104	299.1930	6.242725	285.0736	5.948123	302.3334	6.308251
active_travel	1178.2030	33.423842	1572.6438	69.661786	1211.0323	32.894595	1082.7129	32.075345	1206.6248	30.531145

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.9352	0.2810606	2.8827	0.2594591	3.2097	0.2617408	2.3491	0.2976222	3.3831	0.2529531
cycle	423.7689	0.9199558	300.0079	5.8289768	430.6623	0.8924242	412.7916	0.8961252	473.2009	0.5758922
motorcycle	126.3232	11.7689127	125.9882	11.0003494	138.5241	10.2995689	128.5680	9.6355052	114.2874	15.0205813
pedestrian	311.0117	8.1477603	302.1470	7.5133574	322.9447	8.1027558	280.1617	7.6915840	335.7929	8.0878790
truck	21.2633	0.4436635	20.9906	0.4379742	21.4259	0.4470566	20.6714	0.4313132	21.5986	0.4506596
active_travel	319.6404	9.0677160	301.2087	13.3423343	331.1624	8.9951800	289.8807	8.5877092	342.4019	8.6637712

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.51	0.50	0.46	0.60	0.48	2.55
car	3.60	3.49	3.85	3.13	3.34	17.41
cycle	0.09	0.48	0.08	0.07	0.08	0.80
motorcycle	0.86	0.80	0.82	0.80	4.31	7.59
pedestrian	1.89	1.74	1.91	1.87	1.75	9.16
truck	0.86	0.85	0.86	0.85	0.85	4.27
active_travel	1.97	2.22	1.99	1.94	1.82	9.94
Total	9.78	10.08	9.97	9.26	12.63	51.72

[1] “ub”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.65	1.52	1.99	1.58	8.44
car	10.46	10.14	11.16	9.15	9.68	50.59
cycle	0.80	4.85	0.78	0.68	0.73	7.84
motorcycle	3.31	3.09	3.17	3.07	16.32	28.96
pedestrian	6.60	6.11	6.64	6.58	6.13	32.06
truck	3.19	3.17	3.23	3.11	3.14	15.84
active_travel	7.40	10.96	7.42	7.27	6.86	39.91
Total	33.46	39.97	33.92	31.85	44.44	183.64

[1] “lb”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.15	0.14	0.19	0.15	0.79
car	1.33	1.29	1.42	1.15	1.23	6.42
cycle	0.01	0.05	0.01	0.01	0.01	0.09
motorcycle	0.24	0.22	0.23	0.22	1.20	2.11
pedestrian	0.61	0.56	0.62	0.60	0.56	2.95
truck	0.27	0.27	0.27	0.27	0.27	1.35
active_travel	0.62	0.61	0.63	0.61	0.57	3.04
Total	3.24	3.15	3.32	3.05	3.99	16.75

[1] “arica” [1] NA

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.29	0.28	0.24	0.38	0.25	1.44
car	5.99	5.72	6.35	5.20	5.45	28.71
cycle	0.73	1.82	0.71	0.64	0.65	4.55
motorcycle	1.32	1.23	1.22	1.26	7.41	12.44
pedestrian	6.72	6.28	6.67	6.53	6.20	32.40
truck	1.61	1.60	1.61	1.60	1.60	8.02
active_travel	7.45	8.10	7.38	7.16	6.85	36.94
Total	24.11	25.03	24.18	22.77	28.41	124.50

[1] “ub”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.20	2.07	1.82	2.88	1.88	10.85
car	9.77	9.31	10.30	8.57	8.87	46.82
cycle	1.96	4.87	1.90	1.73	1.73	12.19
motorcycle	3.52	3.28	3.27	3.37	19.50	32.94
pedestrian	11.85	11.10	11.62	11.81	10.99	57.37
truck	3.87	3.83	3.91	3.80	3.79	19.20
active_travel	13.80	15.96	13.51	13.54	12.72	69.53
Total	46.97	50.42	46.33	45.70	59.48	248.90

[1] “lb”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.03	0.05	0.03	0.19
car	3.83	3.65	4.07	3.29	3.49	18.33
cycle	0.28	0.69	0.27	0.24	0.24	1.72
motorcycle	0.50	0.47	0.46	0.47	2.84	4.74
pedestrian	4.16	3.88	4.16	3.96	3.83	19.99
truck	0.80	0.79	0.80	0.79	0.79	3.97
active_travel	4.44	4.56	4.43	4.20	4.07	21.70
Total	14.05	14.08	14.22	13.00	15.29	70.64

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.15	0.13	0.66
car	2.39	2.33	2.65	2.15	2.33	11.85
cycle	0.38	1.50	0.34	0.35	0.38	2.95
motorcycle	3.34	3.28	3.06	3.06	4.82	17.56
other	1.32	1.28	1.17	1.15	1.24	6.16
pedestrian	4.26	4.07	4.01	4.41	4.45	21.20
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.18	0.18	0.18	0.18	0.19	0.91
active_travel	4.64	5.57	4.35	4.77	4.82	24.15
Total	16.64	18.34	15.88	16.22	18.36	85.44

[1] “ub”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.22	0.21	0.20	0.25	0.21	1.09
car	2.72	2.66	3.01	2.44	2.65	13.48
cycle	0.52	2.04	0.46	0.48	0.51	4.01
motorcycle	3.79	3.75	3.47	3.47	5.46	19.94
other	1.52	1.48	1.35	1.32	1.43	7.10
pedestrian	4.77	4.61	4.49	4.94	4.99	23.80
rail	0.03	0.03	0.03	0.03	0.03	0.15
truck	0.28	0.28	0.28	0.28	0.29	1.41
active_travel	5.29	6.65	4.95	5.42	5.50	27.81
Total	19.14	21.71	18.24	18.63	21.07	98.79

[1] “lb”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.10	0.08	0.41
car	2.12	2.06	2.35	1.90	2.05	10.48
cycle	0.28	1.10	0.25	0.26	0.28	2.17
motorcycle	2.96	2.89	2.72	2.71	4.27	15.55
other	1.15	1.12	1.03	1.00	1.09	5.39
pedestrian	3.82	3.62	3.60	3.96	3.98	18.98
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.12	0.12	0.12	0.12	0.12	0.60
active_travel	4.10	4.73	3.85	4.22	4.26	21.16
Total	14.63	15.72	13.99	14.27	16.13	74.74

[1] “bogota” [1] NA

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.15	0.12	0.65
car	0.36	0.35	0.41	0.31	0.35	1.78
cycle	1.10	1.50	1.04	0.97	1.08	5.69
motorcycle	3.42	3.36	3.30	2.93	4.08	17.09
pedestrian	2.92	2.78	2.80	2.89	2.91	14.30
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	4.02	4.27	3.84	3.86	3.99	19.98
Total	11.98	12.42	11.54	11.14	12.56	59.64

[1] “ub”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.23	0.22	0.22	0.26	0.22	1.15
car	0.56	0.55	0.63	0.49	0.54	2.77
cycle	1.41	1.94	1.34	1.24	1.38	7.31
motorcycle	4.32	4.26	4.17	3.71	5.20	21.66
pedestrian	3.64	3.47	3.48	3.61	3.63	17.83
truck	0.08	0.08	0.08	0.08	0.09	0.41
active_travel	5.06	5.41	4.82	4.85	5.01	25.15
Total	15.30	15.93	14.74	14.24	16.07	76.28

[1] “lb”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.07	0.07	0.08	0.07	0.36
car	0.23	0.23	0.26	0.20	0.23	1.15
cycle	0.86	1.16	0.82	0.76	0.85	4.45
motorcycle	2.72	2.67	2.64	2.34	3.23	13.60
pedestrian	2.35	2.24	2.26	2.33	2.34	11.52
truck	0.01	0.01	0.01	0.01	0.01	0.05
active_travel	3.22	3.40	3.08	3.09	3.19	15.98
Total	9.46	9.78	9.14	8.81	9.92	47.11

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.03	0.05	0.04	0.20
car	0.97	0.94	1.16	0.78	0.96	4.81
cycle	0.17	0.35	0.17	0.15	0.19	1.03
motorcycle	2.35	2.29	2.26	1.81	4.36	13.07
pedestrian	2.85	2.70	2.79	2.79	3.33	14.46
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	3.02	3.05	2.96	2.94	3.52	15.49
Total	9.43	9.40	9.40	8.55	12.43	49.21

[1] “ub”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.14	0.11	0.59
car	1.33	1.29	1.58	1.07	1.34	6.61
cycle	0.37	0.77	0.35	0.32	0.40	2.21
motorcycle	3.05	3.01	2.92	2.35	5.66	16.99
pedestrian	3.61	3.47	3.53	3.55	4.23	18.39
truck	0.10	0.10	0.10	0.10	0.10	0.50
active_travel	3.98	4.24	3.88	3.87	4.63	20.60
Total	12.56	12.99	12.47	11.40	16.47	65.89

[1] “lb”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.02	0.01	0.06
car	0.72	0.70	0.86	0.58	0.70	3.56
cycle	0.08	0.17	0.08	0.07	0.10	0.50
motorcycle	1.84	1.78	1.77	1.41	3.40	10.20
pedestrian	2.27	2.15	2.24	2.23	2.64	11.53
truck	0.01	0.01	0.01	0.01	0.01	0.05
active_travel	2.36	2.31	2.32	2.30	2.74	12.03
Total	7.29	7.13	7.29	6.62	9.60	37.93

[1] “cali” [1] NA

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.02	0.02	0.02	0.02	0.02	0.10
car	0.70	0.68	0.79	0.63	0.66	3.46
cycle	1.82	2.77	1.70	1.60	1.79	9.68
motorcycle	9.66	9.39	9.40	8.73	10.45	47.63
other	0.02	0.02	0.01	0.01	0.02	0.08
pedestrian	5.54	5.25	5.30	5.32	5.46	26.87
active_travel	7.37	8.02	6.99	6.92	7.25	36.55
Total	25.13	26.15	24.21	23.23	25.65	124.37

[1] “ub”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.17	0.12	0.67
car	1.10	1.07	1.23	0.98	1.04	5.42
cycle	2.43	3.71	2.26	2.14	2.38	12.92
motorcycle	11.44	11.17	11.10	10.35	12.36	56.42
other	0.13	0.12	0.11	0.10	0.13	0.59
pedestrian	6.65	6.33	6.35	6.41	6.54	32.28
active_travel	9.09	10.04	8.61	8.55	8.92	45.21
Total	30.97	32.57	29.78	28.70	31.49	153.51

[1] “lb”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.00	0.00	0.00
car	0.46	0.45	0.52	0.41	0.43	2.27
cycle	1.41	2.13	1.31	1.23	1.39	7.47
motorcycle	8.27	8.02	8.05	7.46	8.95	40.75
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	4.66	4.40	4.45	4.46	4.60	22.57
active_travel	6.06	6.53	5.76	5.69	5.99	30.03
Total	20.86	21.53	20.09	19.25	21.36	103.09

[1] “copiapo” [1] NA

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.53	0.87	0.57	3.21
car	4.60	4.44	4.79	4.05	4.33	22.21
cycle	1.05	3.86	0.99	1.01	1.23	8.14
motorcycle	2.30	2.14	2.08	2.26	13.14	21.92
pedestrian	2.30	2.16	2.22	2.40	2.71	11.79
truck	0.84	0.83	0.83	0.83	0.90	4.23
active_travel	3.35	6.02	3.21	3.41	3.94	19.93
Total	15.07	20.06	14.65	14.83	26.82	91.43

[1] “ub”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.99	1.92	1.69	2.76	1.81	10.17
car	8.70	8.37	8.96	7.81	9.58	43.42
cycle	3.34	12.29	3.11	3.28	5.39	27.41
motorcycle	6.08	5.65	5.46	6.05	34.87	58.11
pedestrian	5.93	5.55	5.63	6.31	10.07	33.49
truck	3.79	3.73	3.76	3.80	4.95	20.03
active_travel	9.27	17.84	8.74	9.59	15.46	60.90
Total	39.10	55.35	37.35	39.60	82.13	253.53

[1] “lb”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.20	0.19	0.17	0.27	0.18	1.01
car	2.86	2.76	2.99	2.51	2.63	13.75
cycle	0.35	1.30	0.34	0.33	0.35	2.67
motorcycle	0.88	0.82	0.80	0.85	4.99	8.34
pedestrian	0.98	0.92	0.96	1.00	0.98	4.84
truck	0.22	0.22	0.22	0.22	0.23	1.11
active_travel	1.33	2.22	1.30	1.33	1.33	7.51
Total	6.82	8.43	6.78	6.51	10.69	39.23

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.43	0.42	0.39	0.52	0.40	2.16
car	4.39	4.24	4.60	3.89	4.02	21.14
cycle	0.43	1.47	0.41	0.39	0.39	3.09
motorcycle	1.80	1.72	1.65	1.66	11.41	18.24
pedestrian	3.02	2.82	2.98	2.91	2.76	14.49
truck	0.29	0.29	0.29	0.29	0.29	1.45
active_travel	3.45	4.29	3.39	3.30	3.15	17.58
Total	13.81	15.25	13.71	12.96	22.42	78.15

[1] “ub”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.39	1.35	1.26	1.68	1.28	6.96
car	6.69	6.46	7.00	5.96	6.12	32.23
cycle	1.05	3.57	0.99	0.95	0.96	7.52
motorcycle	3.40	3.25	3.10	3.16	21.77	34.68
pedestrian	4.77	4.47	4.68	4.66	4.37	22.95
truck	0.78	0.78	0.78	0.78	0.78	3.90
active_travel	5.82	8.03	5.67	5.61	5.32	30.45
Total	23.90	27.91	23.48	22.80	40.60	138.69

[1] “lb”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.14	0.13	0.17	0.13	0.71
car	2.95	2.85	3.10	2.60	2.70	14.20
cycle	0.18	0.61	0.17	0.16	0.16	1.28
motorcycle	0.96	0.92	0.88	0.88	6.04	9.68
pedestrian	1.95	1.82	1.93	1.86	1.77	9.33
truck	0.11	0.11	0.11	0.11	0.11	0.55
active_travel	2.13	2.43	2.10	2.02	1.94	10.62
Total	8.42	8.88	8.42	7.80	12.85	46.37

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.06	0.06	0.08	0.06	0.33
car	2.13	2.09	2.29	1.88	2.02	10.41
cycle	0.07	0.25	0.06	0.06	0.06	0.50
motorcycle	0.86	0.85	0.75	0.68	5.39	8.53
other	0.03	0.03	0.03	0.03	0.03	0.15
pedestrian	2.69	2.58	2.66	2.68	2.56	13.17
truck	0.40	0.40	0.40	0.40	0.40	2.00
active_travel	2.76	2.82	2.73	2.73	2.62	13.66
Total	9.01	9.08	8.98	8.54	13.14	48.75

[1] “ub”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.50	0.50	0.46	0.57	0.49	2.52
car	3.35	3.56	3.57	2.95	3.57	17.00
cycle	0.29	1.06	0.28	0.24	0.28	2.15
motorcycle	1.61	1.66	1.39	1.26	10.07	15.99
other	0.26	0.26	0.24	0.24	0.25	1.25
pedestrian	4.23	4.41	4.12	4.23	4.61	21.60
truck	0.71	0.71	0.71	0.71	0.71	3.55
active_travel	4.52	5.47	4.39	4.48	4.89	23.75
Total	15.47	17.63	15.16	14.68	24.87	87.81

[1] “lb”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.01	0.01	0.05
car	1.45	1.40	1.56	1.28	1.34	7.03
cycle	0.02	0.06	0.02	0.01	0.01	0.12
motorcycle	0.47	0.46	0.41	0.37	2.95	4.66
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	1.89	1.77	1.88	1.86	1.73	9.13
truck	0.22	0.22	0.22	0.22	0.22	1.10
active_travel	1.90	1.83	1.90	1.87	1.75	9.25
Total	5.96	5.75	6.00	5.62	8.01	31.34

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.32	0.38	0.29	0.37	0.33	1.69
car	3.41	3.53	3.56	3.05	3.29	16.84
cycle	0.32	2.03	0.29	0.30	0.34	3.28
motorcycle	1.17	1.22	1.07	1.10	7.46	12.02
pedestrian	2.03	2.26	1.97	2.06	2.15	10.47
truck	0.53	0.53	0.53	0.53	0.53	2.65
active_travel	2.35	4.29	2.26	2.36	2.49	13.75
Total	10.13	14.24	9.97	9.77	16.59	60.70

[1] “ub”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.28	1.93	1.14	1.49	1.61	7.45
car	6.35	8.07	6.55	5.71	7.11	33.79
cycle	1.22	7.76	1.09	1.15	1.57	12.79
motorcycle	3.11	3.92	2.82	2.94	19.27	32.06
pedestrian	4.77	7.20	4.55	4.92	6.50	27.94
truck	1.30	1.30	1.30	1.30	1.30	6.50
active_travel	5.99	14.96	5.64	6.08	8.07	40.74
Total	24.02	45.14	23.09	23.59	45.43	161.27

[1] “lb”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.09	0.09	0.08	0.10	0.08	0.44
car	2.08	2.04	2.18	1.85	1.93	10.08
cycle	0.09	0.55	0.08	0.08	0.09	0.89
motorcycle	0.46	0.45	0.42	0.43	3.01	4.77
pedestrian	0.97	0.95	0.95	0.97	0.93	4.77
truck	0.22	0.22	0.22	0.22	0.22	1.10
active_travel	1.05	1.51	1.03	1.05	1.01	5.65
Total	4.96	5.81	4.96	4.70	7.27	27.70

[1] “medellin” [1] NA

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.01	0.01	0.01	0.01	0.01	0.05
bus	0.15	0.15	0.14	0.19	0.14	0.77
car	0.24	0.24	0.31	0.21	0.23	1.23
cycle	0.55	1.82	0.51	0.46	0.54	3.88
motorcycle	6.92	6.83	6.83	6.20	8.24	35.02
pedestrian	4.15	3.94	4.11	4.12	4.24	20.56
truck	0.06	0.06	0.06	0.06	0.06	0.30
active_travel	4.70	5.76	4.62	4.58	4.78	24.44
Total	16.78	18.81	16.59	15.83	18.24	86.25

[1] “ub”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.08	0.08	0.07	0.06	0.08	0.37
bus	0.32	0.31	0.30	0.38	0.30	1.61
car	0.43	0.42	0.54	0.37	0.41	2.17
cycle	0.82	2.74	0.76	0.69	0.81	5.82
motorcycle	8.00	8.00	7.90	7.17	9.51	40.58
pedestrian	4.93	4.74	4.88	4.90	5.02	24.47
truck	0.20	0.20	0.20	0.19	0.20	0.99
active_travel	5.75	7.48	5.64	5.59	5.83	30.29
Total	20.53	23.97	20.29	19.35	22.16	106.30

[1] “lb”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.00	0.00	0.00	0.00	0.00	0.00
bus	0.08	0.08	0.08	0.10	0.08	0.42
car	0.15	0.14	0.18	0.13	0.14	0.74
cycle	0.37	1.22	0.35	0.31	0.37	2.62
motorcycle	6.02	5.91	5.95	5.40	7.18	30.46
pedestrian	3.51	3.32	3.48	3.49	3.60	17.40
truck	0.02	0.02	0.02	0.02	0.02	0.10
active_travel	3.88	4.53	3.83	3.80	3.96	20.00
Total	14.03	15.22	13.89	13.25	15.35	71.74

[1] “mexico_city” [1] NA

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.16	0.15	0.19	0.16	0.82
car	4.19	4.12	4.62	3.62	4.66	21.21
cycle	0.47	1.61	0.44	0.42	0.61	3.55
motorcycle	1.49	1.48	1.41	1.28	4.15	9.81
other	0.71	0.70	0.68	0.61	0.98	3.68
pedestrian	7.30	7.07	7.02	7.27	10.19	38.85
truck	0.14	0.14	0.14	0.14	0.14	0.70
active_travel	7.77	8.68	7.46	7.69	10.80	42.40
Total	22.23	23.96	21.92	21.22	31.69	121.02

[1] “ub”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.39	0.38	0.37	0.45	0.44	2.03
car	5.00	4.97	5.50	4.32	5.64	25.43
cycle	0.78	2.75	0.73	0.70	0.99	5.95
motorcycle	2.03	2.06	1.92	1.75	5.69	13.45
other	1.08	1.07	1.03	0.92	1.44	5.54
pedestrian	8.66	8.57	8.31	8.63	12.08	46.25
truck	0.26	0.26	0.26	0.26	0.26	1.30
active_travel	9.44	11.32	9.04	9.33	13.07	52.20
Total	27.64	31.38	27.16	26.36	39.61	152.15

[1] “lb”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.09	0.08	0.40
car	3.53	3.46	3.90	3.05	3.87	17.81
cycle	0.29	0.98	0.27	0.26	0.39	2.19
motorcycle	1.10	1.08	1.05	0.95	3.05	7.23
other	0.49	0.48	0.47	0.42	0.68	2.54
pedestrian	6.20	5.93	5.97	6.17	8.64	32.91
truck	0.07	0.07	0.07	0.07	0.07	0.35
active_travel	6.49	6.91	6.24	6.43	9.03	35.10
Total	18.25	18.99	18.04	17.44	25.81	98.53

[1] “montevideo” [1] NA

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	1.43	1.38	1.62	1.20	1.37	7.00
cycle	0.45	1.32	0.44	0.40	0.43	3.04
motorcycle	4.74	4.51	4.60	3.80	7.37	25.02
pedestrian	1.92	1.79	1.87	1.88	1.89	9.35
truck	0.10	0.10	0.10	0.10	0.10	0.50
active_travel	2.37	3.11	2.31	2.28	2.33	12.40
Total	11.04	12.24	10.97	9.70	13.52	57.47

[1] “ub”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.23	0.30	0.24	1.28
car	2.41	2.33	2.72	2.03	2.33	11.82
cycle	1.05	3.16	1.01	0.93	1.01	7.16
motorcycle	6.78	6.45	6.53	5.48	10.54	35.78
pedestrian	2.97	2.76	2.87	2.92	2.99	14.51
truck	0.33	0.33	0.33	0.33	0.33	1.65
active_travel	4.02	5.92	3.88	3.86	4.00	21.68
Total	17.82	21.20	17.57	15.85	21.44	93.88

[1] “lb”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.01	0.00	0.01
car	0.87	0.84	0.99	0.73	0.83	4.26
cycle	0.20	0.58	0.20	0.18	0.19	1.35
motorcycle	3.42	3.26	3.34	2.73	5.31	18.06
pedestrian	1.28	1.19	1.26	1.25	1.24	6.22
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	1.48	1.78	1.46	1.43	1.43	7.58
Total	7.28	7.68	7.28	6.36	9.03	37.63

[1] “osorno” [1] NA

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	6.73	6.49	7.09	6.02	6.19	32.52
cycle	0.20	0.50	0.19	0.17	0.18	1.24
motorcycle	0.99	0.92	0.94	0.94	5.72	9.51
pedestrian	4.95	4.64	4.84	4.95	4.54	23.92
truck	1.39	1.39	1.39	1.39	1.39	6.95
active_travel	5.15	5.14	5.02	5.13	4.72	25.16
Total	19.41	19.08	19.47	18.60	22.74	99.30

[1] “ub”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	11.84	11.41	12.44	10.67	10.88	57.24
cycle	1.57	3.99	1.47	1.39	1.44	9.86
motorcycle	3.76	3.49	3.58	3.57	22.01	36.41
pedestrian	9.64	9.05	9.37	9.77	8.88	46.71
truck	2.95	2.95	2.95	2.95	2.95	14.75
active_travel	11.21	13.04	10.84	11.16	10.32	56.57
Total	40.97	43.93	40.65	39.51	56.48	221.54

[1] “lb”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	4.00	3.86	4.23	3.56	3.68	19.33
cycle	0.02	0.06	0.02	0.02	0.02	0.14
motorcycle	0.26	0.24	0.25	0.25	1.50	2.50
pedestrian	2.60	2.44	2.56	2.58	2.38	12.56
truck	0.65	0.65	0.65	0.65	0.65	3.25
active_travel	2.63	2.50	2.58	2.60	2.41	12.72
Total	10.16	9.75	10.29	9.66	10.64	50.50

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.24	0.29	0.24	1.28
car	3.85	3.73	4.01	3.52	3.61	18.72
cycle	0.26	1.66	0.23	0.24	0.25	2.64
motorcycle	0.51	0.47	0.51	0.45	5.54	7.48
pedestrian	7.57	7.08	7.29	7.65	7.03	36.62
truck	0.90	0.90	0.90	0.90	0.90	4.50
active_travel	7.82	8.75	7.52	7.89	7.27	39.25
Total	21.17	22.84	20.70	20.94	24.84	110.49

[1] “ub”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.93	1.87	1.77	2.15	1.78	9.50
car	6.81	6.60	7.08	6.25	6.39	33.13
cycle	1.11	7.22	1.01	1.06	1.07	11.47
motorcycle	2.26	2.07	2.24	2.00	26.48	35.05
pedestrian	12.70	11.91	12.14	13.00	11.84	61.59
truck	1.91	1.91	1.91	1.91	1.91	9.55
active_travel	13.81	19.14	13.16	14.05	12.91	73.07
Total	40.53	50.72	39.31	40.42	62.38	233.36

[1] “lb”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	2.25	2.18	2.35	2.05	2.11	10.94
cycle	0.06	0.38	0.05	0.06	0.06	0.61
motorcycle	0.13	0.12	0.13	0.11	1.33	1.82
pedestrian	4.83	4.52	4.69	4.84	4.48	23.36
truck	0.42	0.42	0.42	0.42	0.42	2.10
active_travel	4.89	4.90	4.74	4.89	4.54	23.96
Total	12.61	12.55	12.41	12.41	12.97	62.95

[1] “san_antonio” [1] NA

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	5.11	4.91	4.88	4.72	5.22	24.84
cycle	0.41	2.22	0.36	0.39	0.47	3.85
motorcycle	0.34	0.32	0.26	0.32	2.35	3.59
other	0.39	0.38	0.14	0.33	0.44	1.68
pedestrian	4.27	4.06	3.80	4.71	4.76	21.60
truck	2.08	2.08	2.08	2.08	2.08	10.40
active_travel	4.67	6.28	4.16	5.10	5.23	25.44
Total	17.27	20.25	15.68	17.65	20.55	91.40

[1] “ub”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	30.62	29.33	28.74	28.17	35.92	152.78
cycle	5.87	31.95	5.02	5.62	7.60	56.06
motorcycle	4.14	3.86	3.07	3.84	30.28	45.19
other	4.85	4.72	2.19	4.04	5.98	21.78
pedestrian	28.48	27.04	25.06	31.21	36.67	148.46
truck	10.46	10.46	10.46	10.46	10.46	52.30
active_travel	34.34	58.99	30.07	36.83	44.27	204.50
Total	118.76	166.35	104.61	120.17	171.18	681.07

[1] “lb”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	0.95	0.91	0.92	0.88	0.90	4.56
cycle	0.03	0.16	0.03	0.03	0.03	0.28
motorcycle	0.03	0.03	0.02	0.03	0.19	0.30
other	0.03	0.03	0.01	0.03	0.04	0.14
pedestrian	0.75	0.71	0.68	0.83	0.76	3.73
truck	0.44	0.44	0.44	0.44	0.44	2.20
active_travel	0.78	0.88	0.70	0.86	0.79	4.01
Total	3.01	3.16	2.80	3.10	3.15	15.22

[1] “santiago” [1] NA

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.13	0.13	0.15	0.13	0.68
car	1.84	1.78	2.08	1.62	1.77	9.09
cycle	0.73	1.44	0.69	0.65	0.70	4.21
motorcycle	1.11	1.08	1.09	0.96	3.13	7.37
other	0.06	0.06	0.06	0.06	0.06	0.30
pedestrian	3.13	2.96	3.09	3.22	3.04	15.44
truck	0.19	0.19	0.20	0.19	0.20	0.97
active_travel	3.86	4.40	3.78	3.88	3.74	19.66
Total	11.06	12.04	11.12	10.73	12.77	57.72

[1] “ub”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.26	0.25	0.29	0.25	1.31
car	2.24	2.18	2.53	1.98	2.18	11.11
cycle	0.99	1.97	0.93	0.88	0.96	5.73
motorcycle	1.44	1.42	1.41	1.24	4.08	9.59
other	0.13	0.13	0.13	0.12	0.13	0.64
pedestrian	3.79	3.62	3.73	3.91	3.75	18.80
truck	0.34	0.34	0.35	0.34	0.35	1.72
active_travel	4.78	5.60	4.66	4.79	4.71	24.54
Total	13.97	15.52	13.99	13.55	16.41	73.44

[1] “lb”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.07	0.07	0.08	0.07	0.36
car	1.53	1.48	1.73	1.35	1.47	7.56
cycle	0.55	1.08	0.52	0.49	0.52	3.16
motorcycle	0.86	0.84	0.85	0.74	2.43	5.72
other	0.03	0.03	0.03	0.03	0.03	0.15
pedestrian	2.64	2.49	2.62	2.72	2.53	13.00
truck	0.11	0.11	0.11	0.11	0.11	0.55
active_travel	3.18	3.57	3.13	3.21	3.05	16.14
Total	8.97	9.67	9.06	8.73	10.21	46.64

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.13	0.12	0.59
car	1.98	1.91	2.28	1.68	1.99	9.84
cycle	0.45	2.33	0.42	0.40	0.49	4.09
motorcycle	5.11	4.96	4.87	4.20	10.85	29.99
other	0.02	0.02	0.02	0.01	0.02	0.09
pedestrian	4.71	4.46	4.62	4.68	5.22	23.69
truck	0.18	0.18	0.18	0.17	0.19	0.90
active_travel	5.17	6.79	5.04	5.08	5.71	27.79
Total	17.74	20.76	17.54	16.35	24.59	96.98

[1] “ub”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.18	0.17	0.16	0.20	0.18	0.89
car	2.20	2.13	2.52	1.86	2.21	10.92
cycle	0.56	2.91	0.52	0.50	0.60	5.09
motorcycle	5.51	5.38	5.25	4.53	11.70	32.37
other	0.04	0.03	0.04	0.03	0.04	0.18
pedestrian	5.12	4.88	5.01	5.08	5.69	25.78
truck	0.25	0.24	0.25	0.24	0.26	1.24
active_travel	5.68	7.79	5.53	5.58	6.29	30.87
Total	19.54	23.53	19.28	18.02	26.97	107.34

[1] “lb”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.07	0.07	0.09	0.08	0.39
car	1.80	1.73	2.06	1.52	1.79	8.90
cycle	0.37	1.87	0.34	0.33	0.39	3.30
motorcycle	4.74	4.59	4.52	3.89	10.07	27.81
other	0.01	0.01	0.01	0.01	0.01	0.05
pedestrian	4.36	4.11	4.28	4.32	4.80	21.87
truck	0.13	0.13	0.13	0.12	0.13	0.64
active_travel	4.72	5.98	4.62	4.65	5.19	25.16
Total	16.21	18.49	16.03	14.93	22.46	88.12

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	3.08	2.98	3.37	2.59	2.86	14.88
cycle	0.79	1.19	0.75	0.67	0.73	4.13
motorcycle	0.70	0.67	0.66	0.65	3.29	5.97
pedestrian	3.52	3.27	3.53	3.50	3.28	17.10
truck	0.18	0.18	0.18	0.18	0.18	0.90
active_travel	4.32	4.46	4.29	4.17	4.01	21.25
Total	12.59	12.75	12.78	11.76	14.35	64.23

[1] “ub”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	10.22	9.88	11.16	8.61	9.47	49.34
cycle	2.55	3.88	2.40	2.17	2.34	13.34
motorcycle	2.90	2.75	2.72	2.69	14.18	25.24
pedestrian	10.76	10.02	10.68	10.81	10.04	52.31
truck	1.04	1.04	1.04	1.04	1.04	5.20
active_travel	13.30	13.90	13.08	12.98	12.38	65.64
Total	40.77	41.47	41.08	38.30	49.45	211.07

[1] “lb”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	0.99	0.95	1.08	0.83	0.91	4.76
cycle	0.26	0.38	0.25	0.22	0.24	1.35
motorcycle	0.18	0.17	0.17	0.17	0.80	1.49
pedestrian	1.27	1.18	1.29	1.25	1.18	6.17
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	1.53	1.56	1.53	1.47	1.42	7.51
Total	4.26	4.27	4.35	3.97	4.58	21.43

[1] “valdivia” [1] NA

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.36	0.35	0.31	0.44	0.33	1.79
car	2.72	2.62	2.83	2.38	2.51	13.06
cycle	0.80	1.41	0.73	0.75	0.74	4.43
motorcycle	0.57	0.52	0.54	0.56	2.55	4.74
pedestrian	1.95	1.85	1.79	2.15	1.85	9.59
active_travel	2.76	3.26	2.52	2.90	2.59	14.03
Total	9.16	10.01	8.72	9.18	10.57	47.64

[1] “ub”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.82	2.69	2.40	3.59	2.56	14.06
car	16.13	15.53	16.66	14.12	14.91	77.35
cycle	6.11	11.56	5.57	5.70	5.66	34.60
motorcycle	5.31	4.77	5.06	5.12	25.51	45.77
pedestrian	10.13	9.55	9.29	11.07	9.55	49.59
active_travel	16.25	21.11	14.86	16.77	15.21	84.20
Total	56.75	65.21	53.84	56.37	73.40	305.57

[1] “lb”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.05	0.05	0.07	0.05	0.28
car	0.52	0.50	0.54	0.45	0.48	2.49
cycle	0.12	0.20	0.11	0.11	0.11	0.65
motorcycle	0.07	0.07	0.07	0.07	0.31	0.59
pedestrian	0.41	0.38	0.37	0.45	0.38	1.99
active_travel	0.53	0.58	0.48	0.56	0.50	2.65
Total	1.71	1.78	1.62	1.71	1.83	8.65

[1] “accra” [1] NA

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.90	0.88	0.87	0.96	0.87	4.48
car	1.95	1.88	2.24	1.50	1.96	9.53
cycle	0.72	2.63	0.71	0.55	0.71	5.32
motorcycle	2.02	1.99	1.92	1.44	5.01	12.38
pedestrian	9.84	9.20	9.93	8.71	9.96	47.64
truck	0.43	0.43	0.43	0.42	0.43	2.14
active_travel	10.56	11.82	10.64	9.26	10.67	52.95
Total	26.42	28.83	26.74	22.84	29.61	134.44

[1] “ub”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.30	1.28	1.26	1.38	1.26	6.48
car	2.55	2.50	2.91	1.96	2.58	12.50
cycle	0.98	3.58	0.97	0.75	0.98	7.26
motorcycle	2.62	2.62	2.48	1.87	6.52	16.11
pedestrian	11.44	10.91	11.47	10.16	11.74	55.72
truck	0.71	0.71	0.72	0.69	0.72	3.55
active_travel	12.42	14.49	12.44	10.91	12.72	62.98
Total	32.02	36.09	32.25	27.72	36.52	164.60

[1] “lb”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.61	0.68	0.60	3.13
car	1.51	1.45	1.73	1.16	1.50	7.35
cycle	0.53	1.93	0.52	0.40	0.52	3.90
motorcycle	1.58	1.55	1.51	1.12	3.89	9.65
pedestrian	8.60	8.01	8.71	7.59	8.58	41.49
truck	0.27	0.27	0.27	0.27	0.27	1.35
active_travel	9.13	9.94	9.23	7.99	9.10	45.39
Total	22.25	23.76	22.58	19.21	24.46	112.26

[1] “bangalore” [1] NA

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.25	0.24	0.24	0.31	0.21	1.25
car	0.51	0.50	0.87	0.47	0.44	2.79
cycle	0.39	0.76	0.42	0.36	0.34	2.27
motorcycle	6.14	5.96	6.75	5.64	6.21	30.70
other	0.25	0.23	0.26	0.23	0.21	1.18
pedestrian	6.06	5.74	6.81	6.25	5.58	30.44
truck	0.20	0.20	0.20	0.20	0.20	1.00
active_travel	6.45	6.50	7.24	6.62	5.92	32.73
Total	20.25	20.13	22.79	20.08	19.11	102.36

[1] “ub”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.56	0.54	0.56	0.69	0.48	2.83
car	0.92	0.90	1.56	0.84	0.79	5.01
cycle	0.63	1.24	0.69	0.59	0.56	3.71
motorcycle	7.61	7.46	8.33	6.99	7.70	38.09
other	0.56	0.54	0.58	0.52	0.49	2.69
pedestrian	7.45	7.13	8.36	7.70	6.86	37.50
truck	0.39	0.39	0.39	0.39	0.39	1.95
active_travel	8.09	8.37	9.04	8.29	7.42	41.21
Total	26.21	26.57	29.51	26.01	24.69	132.99

[1] “lb”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.11	0.11	0.11	0.14	0.10	0.57
car	0.29	0.28	0.49	0.26	0.25	1.57
cycle	0.24	0.47	0.26	0.22	0.21	1.40
motorcycle	5.02	4.86	5.53	4.60	5.07	25.08
other	0.12	0.11	0.12	0.11	0.10	0.56
pedestrian	4.97	4.71	5.60	5.13	4.58	24.99
truck	0.11	0.11	0.11	0.11	0.11	0.55
active_travel	5.21	5.17	5.86	5.35	4.79	26.38
Total	16.07	15.82	18.08	15.92	15.21	81.10

[1] “cape_town” [1] NA

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.76	0.75	0.73	0.82	0.74	3.80
car	7.03	7.00	7.71	6.21	6.98	34.93
cycle	0.29	2.37	0.29	0.26	0.26	3.47
motorcycle	1.78	1.68	1.62	1.49	8.28	14.85
other	0.08	0.07	0.07	0.07	0.07	0.36
pedestrian	12.39	12.02	12.49	11.56	12.15	60.61
truck	0.23	0.24	0.25	0.22	0.24	1.18
active_travel	12.68	14.39	12.78	11.83	12.41	64.09
Total	35.24	38.52	35.94	32.46	41.13	183.29

[1] “ub”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.01	1.02	0.96	1.10	0.99	5.08
car	7.83	7.96	8.56	6.92	7.87	39.14
cycle	0.40	3.31	0.40	0.37	0.37	4.85
motorcycle	2.13	2.06	1.93	1.79	9.99	17.90
other	0.14	0.14	0.13	0.14	0.14	0.69
pedestrian	13.47	13.36	13.53	12.61	13.43	66.40
truck	0.39	0.40	0.41	0.37	0.40	1.97
active_travel	13.87	16.68	13.93	12.98	13.80	71.26
Total	39.24	44.93	39.85	36.28	46.99	207.29

[1] “lb”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.58	0.57	0.56	0.62	0.56	2.89
car	6.35	6.25	6.98	5.60	6.23	31.41
cycle	0.21	1.70	0.21	0.19	0.19	2.50
motorcycle	1.51	1.41	1.38	1.26	6.98	12.54
other	0.04	0.04	0.04	0.04	0.04	0.20
pedestrian	11.45	10.99	11.58	10.65	11.07	55.74
truck	0.16	0.16	0.17	0.15	0.16	0.80
active_travel	11.65	12.68	11.78	10.83	11.26	58.20
Total	31.95	33.80	32.70	29.34	36.49	164.28

[1] “delhi” [1] NA

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.06	0.06	0.08	0.06	0.32
car	1.05	1.02	1.21	0.94	0.94	5.16
cycle	0.86	1.38	0.84	0.76	0.76	4.60
motorcycle	6.43	6.16	6.32	5.67	7.30	31.88
pedestrian	7.37	6.94	7.38	7.16	6.80	35.65
truck	0.42	0.42	0.43	0.42	0.42	2.11
active_travel	8.23	8.32	8.22	7.92	7.56	40.25
Total	24.42	24.30	24.46	22.95	23.84	119.97

[1] “ub”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.12	0.12	0.16	0.11	0.64
car	1.24	1.21	1.43	1.12	1.12	6.12
cycle	1.00	1.60	0.97	0.87	0.88	5.32
motorcycle	6.96	6.68	6.84	6.15	7.91	34.54
pedestrian	7.96	7.50	7.96	7.74	7.35	38.51
truck	0.55	0.55	0.56	0.54	0.54	2.74
active_travel	8.95	9.10	8.93	8.62	8.23	43.83
Total	26.79	26.76	26.81	25.20	26.14	131.70

[1] “lb”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	0.88	0.86	1.02	0.80	0.80	4.36
cycle	0.75	1.20	0.73	0.65	0.66	3.99
motorcycle	5.94	5.69	5.84	5.23	6.74	29.44
pedestrian	6.84	6.44	6.86	6.64	6.30	33.08
truck	0.32	0.32	0.33	0.32	0.32	1.61
active_travel	7.58	7.64	7.59	7.29	6.96	37.06
Total	22.34	22.18	22.40	20.97	21.81	109.70

[1] “vizag” [1] NA

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.25	0.31	0.23	1.30
car	0.63	0.60	2.14	0.46	0.61	4.44
cycle	1.24	2.27	1.64	0.96	1.22	7.33
motorcycle	9.15	8.81	11.34	6.98	11.66	47.94
other	0.16	0.15	0.19	0.12	0.12	0.74
pedestrian	9.06	8.46	12.16	8.17	9.34	47.19
truck	0.56	0.56	0.60	0.55	0.56	2.83
active_travel	10.30	10.72	13.81	9.14	10.56	54.53
Total	31.36	31.82	42.13	26.69	34.30	166.30

[1] “ub”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.59	0.57	0.60	0.68	0.53	2.97
car	1.05	1.01	3.57	0.77	1.03	7.43
cycle	1.65	3.02	2.20	1.28	1.62	9.77
motorcycle	10.73	10.33	13.37	8.19	13.66	56.28
other	0.33	0.32	0.40	0.26	0.25	1.56
pedestrian	10.75	10.04	14.46	9.72	11.06	56.03
truck	0.94	0.94	1.07	0.91	0.97	4.83
active_travel	12.40	13.06	16.66	11.01	12.68	65.81
Total	38.44	39.29	52.33	32.82	41.80	204.68

[1] “lb”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.13	0.13	0.17	0.12	0.69
car	0.37	0.36	1.29	0.27	0.36	2.65
cycle	0.93	1.70	1.23	0.72	0.91	5.49
motorcycle	7.80	7.51	9.62	5.95	9.95	40.83
other	0.08	0.07	0.09	0.06	0.06	0.36
pedestrian	7.72	7.21	10.31	6.96	7.97	40.17
truck	0.35	0.35	0.36	0.34	0.35	1.75
active_travel	8.65	8.91	11.54	7.68	8.89	45.67
Total	26.04	26.24	34.57	22.15	28.61	137.61

[1] “kisumu” [1] NA

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.28	3.10	3.30	3.96	2.63	16.27
car	0.86	0.82	1.38	0.70	0.69	4.45
cycle	0.69	1.22	0.74	0.65	0.61	3.91
motorcycle	13.12	12.38	13.34	10.77	14.50	64.11
other	1.21	1.19	0.68	0.80	0.54	4.42
pedestrian	6.56	6.17	7.17	6.38	5.88	32.16
truck	0.17	0.17	0.17	0.17	0.17	0.85
active_travel	7.25	7.39	7.91	7.03	6.49	36.07
Total	33.14	32.44	34.69	30.46	31.51	162.24

[1] “ub”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	6.81	6.43	6.68	8.31	5.49	33.72
car	3.29	3.13	5.36	2.63	2.63	17.04
cycle	2.01	3.54	2.15	1.89	1.78	11.37
motorcycle	18.77	17.66	19.06	15.46	20.60	91.55
other	2.80	2.75	1.56	1.84	1.26	10.21
pedestrian	10.61	9.95	11.46	10.29	9.57	51.88
truck	1.28	1.28	1.28	1.28	1.28	6.40
active_travel	12.63	13.50	13.61	12.19	11.35	63.28
Total	58.20	58.24	61.16	53.89	53.96	285.45

[1] “lb”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.83	1.73	1.86	2.21	1.46	9.09
car	0.27	0.25	0.42	0.22	0.21	1.37
cycle	0.24	0.42	0.26	0.23	0.21	1.36
motorcycle	9.46	8.95	9.59	7.74	10.53	46.27
other	0.53	0.52	0.30	0.35	0.24	1.94
pedestrian	4.22	3.98	4.63	4.11	3.77	20.71
truck	0.02	0.02	0.02	0.02	0.02	0.10
active_travel	4.46	4.40	4.89	4.33	3.98	22.06
Total	21.03	20.27	21.97	19.21	20.42	102.90

[1] “nairobi” [1] NA

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.03	1.01	1.03	1.05	0.97	5.09
car	2.12	2.09	2.40	1.86	2.01	10.48
cycle	0.30	0.73	0.30	0.26	0.28	1.87
motorcycle	4.88	4.78	4.74	4.11	6.43	24.94
other	0.27	0.27	0.26	0.23	0.27	1.30
pedestrian	13.85	13.16	13.84	13.15	12.96	66.96
truck	0.15	0.15	0.15	0.15	0.15	0.75
active_travel	14.16	13.89	14.15	13.41	13.24	68.85
Total	36.76	36.08	36.87	34.22	36.31	180.24

[1] “ub”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.68	1.68	1.75	1.61	8.42
car	3.07	3.06	3.47	2.68	2.91	15.19
cycle	0.58	1.39	0.58	0.50	0.54	3.59
motorcycle	6.20	6.14	6.00	5.22	8.18	31.74
other	0.54	0.54	0.52	0.47	0.53	2.60
pedestrian	16.39	15.76	16.33	15.54	15.40	79.42
truck	0.37	0.37	0.37	0.37	0.37	1.85
active_travel	16.97	17.15	16.91	16.04	15.94	83.01
Total	45.82	46.09	45.86	42.57	45.48	225.82

[1] “lb”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.64	0.62	0.64	0.65	0.60	3.15
car	1.49	1.46	1.69	1.31	1.41	7.36
cycle	0.16	0.38	0.16	0.14	0.15	0.99
motorcycle	3.95	3.86	3.85	3.33	5.21	20.20
other	0.14	0.13	0.13	0.12	0.13	0.65
pedestrian	11.85	11.23	11.86	11.25	11.05	57.24
truck	0.06	0.06	0.06	0.06	0.06	0.30
active_travel	12.01	11.61	12.02	11.39	11.20	58.23
Total	30.30	29.35	30.41	28.25	29.81	148.12

[1] “port_louis” [1] NA

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.89	0.82	0.83	0.95	0.80	4.29
cycle	2.37	14.63	2.30	2.30	1.55	23.15
motorcycle	18.10	16.92	15.84	14.87	23.03	88.76
pedestrian	13.06	12.05	12.95	12.42	12.91	63.39
truck	1.48	1.46	1.50	1.44	1.51	7.39
active_travel	15.43	26.69	15.25	14.72	14.45	86.54
Total	51.33	72.57	48.67	46.70	54.25	273.52

[1] “ub”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.12	2.89	2.91	3.34	2.79	15.05
cycle	6.94	41.49	6.71	6.69	4.69	66.52
motorcycle	31.16	29.15	27.25	25.71	39.57	152.84
pedestrian	23.31	21.56	23.07	22.34	22.94	113.22
truck	5.59	5.49	5.65	5.38	5.71	27.82
active_travel	30.25	63.05	29.77	29.03	27.63	179.73
Total	100.37	163.63	95.36	92.49	103.33	555.18

[1] “lb”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.25	0.23	0.24	0.27	0.23	1.22
cycle	0.83	5.28	0.81	0.81	0.52	8.25
motorcycle	10.65	9.96	9.32	8.72	13.60	52.25
pedestrian	7.37	6.80	7.33	6.96	7.32	35.78
truck	0.40	0.40	0.40	0.39	0.41	2.00
active_travel	8.21	12.08	8.14	7.77	7.84	44.04
Total	27.71	34.75	26.24	24.92	29.92	143.54

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	18.2137	5.0397959	17.9735	4.653167	19.3536	5.0922095	16.9736	5.0027015	17.4552	4.6674370
car	18.0977	9.6214286	18.1435	9.333034	16.9088	10.2877078	18.6078	8.3687271	18.2380	8.9148168
cycle	44.6070	0.2290816	13.1486	1.291047	46.9022	0.2220374	42.1519	0.1957029	41.9956	0.2095391
motorcycle	69.1939	2.2908163	68.6886	2.129625	72.2751	2.1854170	67.7986	2.1322178	93.5275	11.5242894
truck	9.2946	2.2908163	9.2713	2.285086	9.3440	2.3030142	9.2100	2.2699869	9.2419	2.2778277
bus	2.5208	1.3744898	2.5238	1.329415	2.5633	1.2235283	2.4777	1.6059306	2.5599	1.2797629
active_travel	18.6947	5.2688776	16.6467	5.944215	19.8405	5.3142468	17.3641	5.1984044	17.9047	4.8769761

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	63.7599	17.642547	63.1153	16.339973	67.4626	17.750344	59.7053	17.597177	61.2846	16.387212
car	52.6027	27.965527	52.6952	27.106510	49.0337	29.833183	54.3674	24.451307	52.9594	25.886786
cycle	415.4119	2.133369	131.9674	12.957772	437.9992	2.073510	393.5785	1.827306	392.0286	1.956046
motorcycle	267.2410	8.847600	266.1858	8.252838	279.9064	8.463663	260.8406	8.203247	354.0727	43.628208
truck	34.5767	8.522066	34.3434	8.464572	35.0467	8.637902	33.7710	8.323500	34.0474	8.391605
bus	8.3456	4.550505	8.3621	4.404798	8.4886	4.051881	8.2012	5.315678	8.4710	4.234885
active_travel	70.1676	19.775915	82.0481	29.297745	74.0116	19.823855	64.8831	19.424484	67.3432	18.343259

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	5.8774	1.6262828	5.7864	1.4980453	6.2761	1.6513169	5.4453	1.6049034	5.6194	1.5025987
car	6.6827	3.5527551	6.7039	3.4485130	6.2547	3.8055048	6.8421	3.0771824	6.7387	3.2939299
cycle	4.8842	0.0250829	1.3620	0.1337377	5.1260	0.0242668	4.6053	0.0213816	4.5901	0.0229027
motorcycle	19.2614	0.6376895	19.0791	0.5915286	20.1165	0.6082724	18.8936	0.5941896	25.9882	3.2022197
truck	2.9111	0.7174856	2.9086	0.7168730	2.9166	0.7188490	2.9016	0.7151643	2.9054	0.7160987
bus	0.7784	0.4244391	0.7787	0.4101792	0.7912	0.3776440	0.7645	0.4955121	0.7909	0.3954108
active_travel	5.8593	1.6513657	4.5698	1.6317830	6.2557	1.6755837	5.4322	1.6262851	5.6005	1.5255014

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	43.3069	10.5377551	42.5904	9.8409309	45.1885	10.4496418	40.0736	10.2317962	40.9357	9.7187191
car	32.9255	9.3923469	33.1656	8.9614836	29.0408	9.9573435	33.9733	8.1480211	33.0840	8.5467800
cycle	46.4285	1.1454082	30.0394	2.8491939	48.9567	1.1161088	44.8133	0.9982593	44.6696	1.0111999
motorcycle	80.0792	2.0617347	80.1781	1.9257213	82.4073	1.9193365	77.9580	1.9674802	130.1486	11.6109320
truck	17.6724	2.5198980	17.6147	2.5116617	17.7243	2.5272939	17.5578	2.5035506	17.5551	2.5031723
bus	2.7888	0.4581633	2.7775	0.4325353	2.9719	0.3789923	2.5071	0.6014572	2.7908	0.3923871
active_travel	43.5943	11.6831633	38.9377	12.6901248	45.5266	11.5657506	40.4540	11.2300555	41.2607	10.7299190

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	76.3288	18.572879	75.2755	17.393133	78.7334	18.206769	72.5030	18.511821	72.5581	17.226331
car	53.6762	15.311702	54.0191	14.596174	47.1071	16.151838	55.9885	13.428068	53.7916	13.896301
cycle	124.2593	3.065521	80.4486	7.630426	130.3362	2.971392	121.4510	2.705437	119.6288	2.708073
motorcycle	214.1893	5.514559	214.3173	5.147481	220.3293	5.131655	209.0167	5.275102	342.6713	30.570694
truck	42.5775	6.071087	42.1376	6.008372	42.9345	6.122001	41.7859	5.958224	41.6790	5.942973
bus	20.9563	3.442837	20.8727	3.250450	22.3408	2.849026	18.8310	4.517679	20.9755	2.949157
active_travel	80.7410	21.638400	76.7810	25.023559	83.3643	21.178161	76.4308	21.217258	76.6556	19.934404

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	26.8033	6.5219796	26.3133	6.0799481	28.2013	6.5214295	24.3123	6.2075252	25.2611	5.9973467
car	21.0262	5.9979400	21.1905	5.7257577	18.6082	6.3802803	21.5341	5.1646634	21.1612	5.4666925
cycle	17.5209	0.4322473	11.3285	1.0744953	18.5592	0.4231111	16.7263	0.3725951	16.8439	0.3813013
motorcycle	30.3095	0.7803533	30.3656	0.7293232	31.1872	0.7263752	29.4717	0.7437972	49.9809	4.4589433
truck	8.7455	1.2470205	8.7379	1.2459356	8.7530	1.2480788	8.7292	1.2446864	8.7302	1.2448291
bus	0.3715	0.0610374	0.3700	0.0576201	0.3958	0.0504714	0.3341	0.0801609	0.3717	0.0522651
active_travel	25.9488	6.9542269	21.9523	7.1544434	27.3360	6.9445406	23.7035	6.5801203	24.5284	6.3786480

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	20.6943	94.0809950	20.8306	91.5675875	19.8255	104.3239377	21.3607	84.3711805	21.6433	91.3925468
pedestrian	50.6626	167.2877693	51.0144	159.8665131	51.0544	157.5977264	49.9912	173.4235733	55.0772	174.7652744
motorcycle	127.7413	131.2723884	128.4786	128.8505954	131.2026	120.3735068	133.1501	120.2656530	113.2152	189.2944845
cycle	108.3245	14.9941586	78.0745	58.9117213	111.1185	13.1753438	110.4952	13.8475633	113.6688	14.7925255
other	73.2054	51.7445473	73.4255	50.3846010	74.1583	46.1280750	74.4094	45.0336164	73.9449	48.8749023
truck	2.5416	7.2030762	2.5392	7.1962718	2.5309	7.1728065	2.5403	7.1994803	2.5993	7.3666296
bus	0.9644	5.1450544	0.9680	5.0496756	0.9840	4.6670020	0.9227	6.0283004	1.0025	4.9519528
rail	0.3140	0.1470016	0.3145	0.1447179	0.3175	0.1332066	0.3140	0.1470016	0.3164	0.1370746
active_travel	52.9825	182.2819279	56.2656	218.7782344	53.2762	170.7730701	52.1007	187.2711366	57.3856	189.5577999

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	23.4912	106.796426	23.7450	104.378738	22.4553	118.162351	24.2690	95.858414	24.6267	103.990453
pedestrian	56.8055	187.571506	57.7977	181.123494	57.1463	176.402331	55.9840	194.213137	61.8126	196.137216
motorcycle	144.8675	148.871982	147.0178	147.443441	148.6197	136.353076	150.9092	136.306216	128.3329	214.571149
cycle	147.7862	20.456413	106.2447	80.167779	151.5681	17.971470	150.7389	18.891009	155.1753	20.194061
other	84.3134	59.596177	84.5961	58.049816	85.4150	53.129996	85.7365	51.888907	85.3236	56.395842
truck	3.9316	11.142403	3.9346	11.150946	3.9118	11.086482	3.9288	11.134494	4.0331	11.430073
bus	1.6023	8.548522	1.6119	8.408503	1.6397	7.776597	1.5191	9.925447	1.6843	8.319904
rail	2.7250	1.275719	2.7297	1.255901	2.7550	1.156003	2.7250	1.275719	2.7462	1.189570
active_travel	60.4659	208.027919	67.1992	261.291273	60.6390	194.373800	59.2877	213.104145	65.4908	216.331277

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	18.3009	83.200419	18.3767	80.7809623	17.5669	92.4390039	18.8722	74.542156	19.0939	80.6274537
pedestrian	45.4280	150.003033	45.4544	142.4428467	45.8387	141.4975694	44.8700	155.657725	49.3099	156.4649918
motorcycle	113.1854	116.314127	113.2127	113.5404424	116.3405	106.7381251	118.0184	106.598141	100.3427	167.7718846
cycle	79.4874	11.002569	57.4264	43.3315292	81.5482	9.6691940	81.0816	10.161371	83.3507	10.8470121
other	64.1153	45.319326	64.3007	44.1231596	64.9471	40.3985412	65.1515	39.430579	64.6844	42.7540299
truck	1.6578	4.698267	1.6546	4.6893384	1.6519	4.6817417	1.6572	4.696608	1.6906	4.7911615
bus	0.5972	3.186060	0.5988	3.1234524	0.6079	2.8832720	0.5754	3.759375	0.6153	3.0393797
rail	0.0362	0.016939	0.0362	0.0166759	0.0366	0.0153494	0.0362	0.016939	0.0365	0.0157952
active_travel	46.7983	161.005602	47.7777	185.7743759	47.1596	151.1667634	46.1325	165.819095	50.6510	167.3120039

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.8238	20.707117	6.8471	20.232090	6.5065	23.265358	7.0119	17.953526	7.0472	19.868396
pedestrian	40.0776	166.992877	40.4234	158.851533	41.1112	159.850575	38.7349	165.376995	42.2443	166.345813
cycle	100.8657	63.011979	74.5463	85.499735	103.6480	59.720189	101.2346	55.237961	106.9860	61.687827
motorcycle	142.6302	195.270338	142.7473	191.955653	147.0634	188.692840	146.9141	167.585764	121.3575	233.054062
truck	0.7701	1.558600	0.7684	1.553722	0.7715	1.561316	0.7600	1.538096	0.7810	1.580625
bus	1.0396	7.347687	1.0418	7.188424	1.0557	6.899917	0.9955	8.319039	1.0629	7.025212
active_travel	48.0032	230.004856	48.1326	244.351268	49.1823	219.570765	45.8173	220.614956	50.5135	228.033641

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.6348	32.271686	10.6769	31.548617	10.1081	36.143812	10.9247	27.971840	10.9798	30.955680
pedestrian	49.9708	208.215210	50.5176	198.518847	51.2183	199.149301	48.2856	206.153128	52.6811	207.443214
cycle	129.4535	80.871064	96.7167	110.927768	132.9209	76.586764	129.9444	70.903304	137.1946	79.106029
motorcycle	180.4988	247.114869	181.0978	243.526475	185.7904	238.382282	185.8959	212.052518	154.7523	297.185205
truck	2.3812	4.819295	2.3745	4.801631	2.3867	4.830382	2.3389	4.733669	2.4269	4.911399
bus	1.8521	13.090635	1.8569	12.812184	1.8837	12.311538	1.7698	14.790207	1.9007	12.562476
active_travel	60.3337	289.086274	60.9551	309.446615	61.7629	275.736065	57.5391	277.056433	63.4758	286.549243

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	4.4245	13.4262075	4.4376	13.1125159	4.2318	15.1316814	4.5473	11.642917	4.5692	12.8821225
pedestrian	32.3089	134.6227474	32.5309	127.8366674	33.1653	128.9546734	31.2359	133.360199	34.0406	134.0420782
cycle	79.1551	49.4490892	57.9558	66.4715652	81.3951	46.8984756	79.4392	43.345487	83.9993	48.4337715
motorcycle	113.7382	155.7151871	113.6075	152.7706409	117.4470	150.6928265	117.1544	133.638667	96.1525	184.6506367
truck	0.2604	0.5270966	0.2600	0.5257295	0.2608	0.5277613	0.2580	0.522186	0.2631	0.5323536
bus	0.5949	4.2044935	0.5960	4.1122646	0.6033	3.9429784	0.5706	4.768092	0.6062	4.0067601
active_travel	38.4167	184.0718367	38.2751	194.3082326	39.3898	175.8531490	36.6983	176.705686	40.4216	182.4758497

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	124.7651	251.388194	124.5865	238.432325	130.7200	246.651268	114.2978	246.701901	153.3832	293.605637
car	47.2257	85.488915	47.3315	82.956922	44.4546	102.151379	48.9629	68.633897	51.0142	84.932761
cycle	74.0978	15.235648	56.8647	31.135245	77.4941	14.623533	72.3755	13.254235	87.7574	17.017983
motorcycle	674.2159	207.374100	671.1248	202.506636	716.3040	199.588523	714.5702	159.803897	551.7188	384.641181
truck	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275
bus	1.1485	3.385700	1.1530	3.269005	1.1603	3.087682	1.1213	4.201261	1.1581	3.141664
active_travel	120.0734	266.623843	109.5214	269.567571	125.8808	261.274801	111.0191	259.956137	147.3464	310.623620

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	158.2278	318.811740	159.9341	306.080353	165.1178	311.555500	145.0303	313.035316	194.9728	373.216256
car	64.7906	117.285341	65.1340	114.159050	60.6984	139.477540	67.2563	94.276699	71.0616	118.309411
cycle	158.1575	32.519622	124.0671	67.930719	164.5379	31.049131	155.2218	28.426000	183.9839	35.678320
motorcycle	874.3121	268.919328	880.9231	265.811635	925.4487	257.863894	927.2002	207.355684	716.5068	499.526268
truck	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765
bus	3.4993	10.315435	3.5129	9.959895	3.5353	9.407444	3.4163	12.800258	3.5285	9.571915
active_travel	158.2213	351.331362	151.9553	374.011072	165.0651	342.604631	145.8274	341.461316	193.9619	408.894576

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	99.6264	200.7364519	98.9555	189.3800077	104.7057	197.5657543	91.2757	197.0106954	121.8730	233.2889375
car	35.0004	63.3583943	35.0449	61.4225435	33.0743	76.0007421	36.2508	50.8146761	37.3022	62.1039502
cycle	36.2542	7.4544240	27.3457	14.9726551	38.0787	7.1856400	35.2849	6.4617713	43.4883	8.4332907
motorcycle	527.1174	162.1298344	521.8306	157.4582881	561.5315	156.4632442	558.2962	124.8553401	430.5139	300.1409306
truck	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883
bus	0.3770	1.1112437	0.3784	1.0729427	0.3808	1.0134292	0.3680	1.3789246	0.3801	1.0311471
active_travel	93.7583	208.1908759	83.0256	204.3526629	98.6482	204.7513943	86.8967	203.4724667	114.6626	241.7222282

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	67.8571	87.9495819	67.6524	83.2921061	69.1653	84.0517866	64.0363	84.4580208	71.3621	86.6513145
motorcycle	99.1441	153.3551254	99.5052	149.0678145	103.4166	149.1442391	101.4329	138.6067878	94.2626	165.8437643
cycle	102.3048	28.9454320	83.5529	43.9281278	105.6372	26.9637044	100.5410	25.3755652	107.7394	28.4755279
other	66.7710	0.2783215	66.9670	0.2595841	70.5934	0.2337029	68.2329	0.2134361	70.1276	0.2667164
car	8.3144	11.1328585	8.2980	10.8531113	7.6446	12.5323638	8.3950	10.0029171	8.5351	10.5123255
bus	0.1427	0.2783215	0.1429	0.2737918	0.1438	0.2592847	0.1384	0.3659559	0.1441	0.2551713
active_travel	74.0295	116.8950139	72.4105	127.2202339	75.4961	111.0154910	69.8998	109.8335859	77.8647	115.1268425

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	81.4825	105.609448	81.5544	100.408021	82.9680	100.825332	77.1083	101.698914	85.4248	103.727029
motorcycle	117.4308	181.640781	118.3240	177.260115	122.1228	176.121794	120.2059	164.259860	111.5085	196.185867
cycle	136.4028	38.592916	112.0975	58.935463	140.6391	35.897861	134.4909	33.944195	143.1066	37.823085
other	497.3880	2.073263	499.1718	1.934940	525.6658	1.740243	508.3106	1.590021	522.1571	1.985920
car	13.0006	17.407749	12.9790	16.975441	11.9032	19.513802	13.1174	15.629758	13.3942	16.497145
bus	1.0543	2.056513	1.0562	2.023043	1.0627	1.915850	1.0227	2.704043	1.0645	1.885457
active_travel	91.3232	144.202363	90.6943	159.343483	92.9787	136.723193	86.3254	135.643109	95.7358	141.550114

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	57.0272	73.9130115	56.7142	69.8252087	58.1338	70.6459533	53.6489	70.7580205	60.1164	72.9963040
motorcycle	84.8569	131.2558812	84.9533	127.2677191	88.6376	127.8304217	86.6661	118.4280841	80.7439	142.0592231
cycle	78.8703	22.3150499	64.2028	33.7547367	81.4746	20.7962523	77.2739	19.5031687	83.2691	22.0080272
other	8.9743	0.0374074	8.9951	0.0348676	9.4901	0.0314173	9.1690	0.0286812	9.4287	0.0358601
car	5.4117	7.2461671	5.4010	7.0640964	4.9927	8.1849219	5.4669	6.5139307	5.5365	6.8190748
bus	0.0193	0.0376671	0.0193	0.0370540	0.0195	0.0350907	0.0187	0.0495272	0.0195	0.0345340
active_travel	60.9411	96.2280614	58.9551	103.5799454	62.1853	91.4422056	57.4437	90.2611892	64.2551	95.0043311

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	100.3872	1.1454082	55.2725	4.2298978	102.2525	1.0845823	100.2523	1.1072763	122.1167	1.3465385
pedestrian	12.7943	2.5198980	12.6474	2.3651526	12.8960	2.4368290	12.4086	2.6236758	15.5340	2.9681419
car	14.1296	5.0397959	14.1372	4.8618903	12.7253	5.2467387	14.5610	4.4360001	14.6779	4.7413315
motorcycle	104.1637	2.5198980	104.3955	2.3392298	105.8449	2.2734024	104.6851	2.4750421	158.9865	14.3905294
truck	5.3253	0.9163265	5.2828	0.9089979	5.3122	0.9140607	5.3158	0.9146842	5.7495	0.9893089
bus	3.8709	0.6872449	3.8862	0.6632030	3.9409	0.5847629	3.7325	0.9535774	3.9128	0.6237826
active_travel	17.5909	3.6653061	25.0253	6.5950504	17.6452	3.5214113	16.7694	3.7309520	21.3492	4.3146804

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	320.4701	3.656532	175.9337	13.463863	321.4388	3.409469	325.5764	3.595959	535.1431	5.900836
pedestrian	33.0004	6.499566	32.5100	6.079623	32.6497	6.169505	32.6904	6.912090	57.7454	11.033644
car	26.7238	9.531939	26.6609	9.168866	23.7942	9.810553	28.0749	8.553000	32.4984	10.497804
motorcycle	275.4580	6.663802	276.1512	6.187824	278.5333	5.982513	280.2403	6.625645	422.0589	38.202294
truck	24.1605	4.157271	23.7705	4.090160	23.9205	4.115977	24.1989	4.163871	31.5079	5.421533
bus	12.2825	2.180678	12.3312	2.104392	12.5049	1.855495	11.8436	3.025771	12.4155	1.979307
active_travel	48.7421	10.156097	74.1588	19.543486	47.9987	9.578974	47.2302	10.508048	83.7924	16.934480

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	33.8060	0.3857226	18.6271	1.4254920	34.7730	0.3688339	33.1761	0.3664268	35.2276	0.3884421
pedestrian	5.4583	1.0750418	5.3990	1.0096604	5.5651	1.0515795	5.1814	1.0955504	5.6136	1.0726193
car	8.7910	3.1356108	8.7996	3.0262362	7.9344	3.2714415	9.0199	2.7479090	8.9345	2.8860727
motorcycle	39.7959	0.9627305	39.8680	0.8933370	40.6185	0.8724305	39.5524	0.9351273	60.4198	5.4688499
truck	1.4200	0.2443428	1.4151	0.2434863	1.4198	0.2443002	1.4171	0.2438315	1.4415	0.2480411
bus	1.2199	0.2165866	1.2247	0.2090097	1.2420	0.1842891	1.1763	0.3005218	1.2331	0.1965863
active_travel	7.0106	1.4607644	9.2403	2.4351523	7.1175	1.4204134	6.5711	1.4619772	7.2294	1.4610615

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	22.5099	9.6214286	22.3627	8.9883088	23.5570	9.4838181	20.7779	9.2631318	21.4936	8.7728760
car	21.5976	13.9739796	21.6722	13.4949435	19.7590	14.6623453	22.6846	12.3836137	21.9493	12.8035529
cycle	71.8376	1.3744898	41.1405	4.6667886	76.7728	1.2965814	68.1759	1.2359981	68.8001	1.2493236
motorcycle	150.6254	5.7270408	151.8503	5.4779990	154.6101	5.2434607	146.0683	5.2889051	225.6246	36.3315092
truck	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265
bus	2.8354	1.3744898	2.8269	1.3351378	2.9264	1.2360828	2.6627	1.6698611	2.8213	1.2621913
active_travel	24.6233	10.9959184	26.4958	13.6550974	25.6996	10.7803996	22.6301	10.4991299	23.5085	10.0221996

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	35.5679	15.202827	35.3784	14.219737	37.0269	14.906633	33.2835	14.838317	34.0558	13.900310
car	32.9201	21.299836	33.0213	20.561841	30.0425	22.293308	34.7906	18.992377	33.4166	19.492645
cycle	174.7634	3.343801	100.1485	11.360379	186.2246	3.145064	167.1235	3.029875	167.6122	3.043629
motorcycle	284.4594	10.815645	287.0240	10.354387	290.9729	9.868079	277.8941	10.062111	430.4700	69.317037
truck	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834
bus	9.1633	4.442038	9.1211	4.307864	9.5085	4.016306	8.5072	5.335116	9.0836	4.063804
active_travel	41.5318	18.546627	49.6347	25.580115	43.0337	18.051697	38.5135	17.868192	39.7445	16.943939

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	14.5268	6.2092118	14.4151	5.7939018	15.2686	6.1469592	13.2564	5.9099034	13.8336	5.6463695
car	14.5066	9.3860107	14.5603	9.0664928	13.2965	9.8668016	15.1654	8.2788596	14.7545	8.6066461
cycle	29.7200	0.5686425	17.0098	1.9295137	31.8438	0.5377956	28.0141	0.5078838	28.4234	0.5161329
motorcycle	80.6510	3.0664931	81.2317	2.9304315	83.0607	2.8169262	77.6637	2.8120832	119.4812	19.2396297
truck	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977
bus	0.9176	0.4448426	0.9162	0.4327321	0.9426	0.3981629	0.8704	0.5458422	0.9162	0.4098708
active_travel	15.1778	6.7778543	14.9862	7.7234155	15.9359	6.6847547	13.8330	6.4177872	14.4550	6.1625024

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.1909	14.6612245	10.3923	14.4086864	9.2865	15.7476229	10.9482	12.9701270	10.5565	13.9075744
pedestrian	18.4212	18.5556122	18.5889	17.7523326	19.3888	18.3450183	17.2460	18.4540476	18.1878	17.6141486
cycle	12.5236	0.4581633	6.8377	1.7074944	13.3351	0.4448737	12.5019	0.3899010	12.5346	0.4227410
other	29.4981	0.2290816	29.7106	0.2248219	31.1066	0.2168407	28.4493	0.2141872	29.7198	0.2111147
motorcycle	256.5006	5.9561224	257.8803	5.8398957	270.7138	5.1778553	262.6092	4.6628354	165.7097	37.1742928
truck	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796
bus	0.2237	0.4581633	0.2264	0.4449444	0.2361	0.4231221	0.2048	0.5190612	0.2266	0.4287850
active_travel	18.2145	19.0137755	16.1530	19.4598270	19.1826	18.7898920	17.1116	18.8439486	17.9975	18.0368896

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	16.0636	23.110053	17.6904	24.527383	14.4977	24.584539	17.1821	20.355254	18.6742	24.602020
pedestrian	28.9503	29.161569	31.7891	30.358505	29.9916	28.377111	27.2646	29.174495	32.8230	31.787834
cycle	53.7316	1.965715	29.3460	7.328267	56.9738	1.900702	53.6721	1.673895	57.3765	1.935079
other	228.2902	1.772898	237.1470	1.794505	239.7224	1.671079	219.9980	1.656306	241.3843	1.714675
motorcycle	477.8528	11.096076	505.8598	11.455582	501.7927	9.597627	490.1871	8.703662	309.2768	69.381254
truck	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791
bus	1.6947	3.470292	1.7505	3.439767	1.7840	3.197721	1.5491	3.925826	1.7719	3.352333
active_travel	29.8188	31.127284	31.2827	37.686772	30.9106	30.277814	28.0125	30.848390	33.6493	33.722914

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.9257	9.9637949	6.9467	9.6314025	6.3421	10.7546311	7.4180	8.7879364	6.9954	9.2160383
pedestrian	12.9157	13.0099313	12.7802	12.2050933	13.7075	12.9695874	11.9832	12.8225608	12.3317	11.9428143
cycle	2.9482	0.1078556	1.6092	0.4018569	3.1476	0.1050086	2.9379	0.0916249	2.8767	0.0970211
other	3.8627	0.0299980	3.8338	0.0290104	4.0843	0.0284712	3.7237	0.0280350	3.8022	0.0270089
motorcycle	140.7655	3.2686728	139.6670	3.1628651	149.1264	2.8522928	143.6820	2.5511885	90.4756	20.2967344
truck	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329
bus	0.0298	0.0610392	0.0299	0.0587253	0.0315	0.0564381	0.0273	0.0691949	0.0298	0.0562970
active_travel	12.5664	13.1177870	10.4647	12.6069502	13.3478	13.0745959	11.7270	12.9141857	12.0136	12.0398354

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	15.6814	4.3525510	18.4203	4.8416254	16.0188	4.2382768	14.8604	4.4312196	17.1612	4.6087368
car	15.1838	7.3306122	16.3109	7.5802761	13.8275	7.6423651	15.6355	6.5476045	16.1827	7.0668313
cycle	108.1483	0.6872449	47.4012	4.3686947	114.8491	0.6195763	106.0250	0.6427925	118.5419	0.7320911
motorcycle	84.0622	2.5198980	92.8339	2.6281314	85.9870	2.2904626	82.8837	2.3665307	137.2211	16.0202418
truck	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082
bus	2.4620	0.6872449	3.0111	0.8114169	2.6047	0.6176248	2.1730	0.7979107	2.8228	0.7139052
active_travel	17.7511	5.0397959	25.9441	9.2103201	17.9936	4.8578531	16.6769	5.0740122	19.4401	5.3408279

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	36.8709	10.233911	58.8063	15.456755	36.9368	9.772803	35.4462	10.569711	51.9836	13.960505
car	28.2592	13.643280	37.2874	17.328864	25.4386	14.059745	29.2781	12.260691	34.9637	15.268350
cycle	412.6318	2.622131	180.7824	16.661685	434.4459	2.343705	408.3769	2.475846	546.1074	3.372650
motorcycle	223.0234	6.685482	296.9173	8.405743	227.1034	6.049425	220.6910	6.301267	354.4114	41.376690
truck	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593
bus	9.8606	2.752479	15.4154	4.154119	10.2926	2.440622	8.7374	3.208341	13.6909	3.462572
active_travel	45.2813	12.856041	90.4729	32.118440	44.8799	12.116509	42.8773	13.045557	63.0912	17.333155

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	7.4828	2.0769266	7.7894	2.0473936	7.7231	2.0433791	6.9863	2.0832521	7.4279	1.9948116
car	9.2622	4.4716873	9.4151	4.3755767	8.4699	4.6812740	9.4922	3.9750223	9.5000	4.1485735
cycle	29.4777	0.1873205	12.9177	1.1905517	31.4817	0.1698345	28.6299	0.1735728	29.6813	0.1833059
motorcycle	33.2299	0.9961189	34.3776	0.9732305	34.0326	0.9065373	32.6838	0.9332017	55.4119	6.4692117
truck	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906
bus	0.6655	0.1857705	0.7168	0.1931611	0.7083	0.1679600	0.5856	0.2150422	0.6935	0.1753920
active_travel	7.9751	2.2642471	9.1208	3.2379454	8.1978	2.2132137	7.4176	2.2568250	7.9282	2.1781175

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	60.3987	75.5178900	61.0854	71.746473	63.3440	74.8417778	57.3279	75.032208	65.2947	77.1565774
cycle	203.4152	10.0195726	140.3120	33.129431	214.2498	9.3293996	207.5627	8.385918	216.3576	9.8807942
motorcycle	171.6917	125.9868484	172.6600	124.373850	180.7466	124.3924960	176.6797	112.929728	161.5127	149.9560779
car	6.8183	4.4531434	6.8526	4.342221	6.1131	5.6160938	6.9600	3.866135	6.9823	4.2293737
auto_rickshaw	195.5191	0.1855476	194.9716	0.185028	211.4793	0.1620989	203.3843	0.141047	208.1281	0.1899169
truck	2.5887	1.1132858	2.5858	1.112024	2.6182	1.1259592	2.5526	1.097768	2.6459	1.1378905
bus	2.2042	2.7832146	2.2139	2.699365	2.2371	2.6218705	2.1172	3.432062	2.2488	2.6173056
active_travel	65.8193	85.5374626	74.3463	104.875904	68.7079	84.1711774	61.8266	83.418126	70.9157	87.0373717

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	71.7043	89.653642	73.4444	86.262470	75.1463	88.786453	68.1296	89.169855	77.3590	91.412667
cycle	303.1685	14.933097	211.1955	49.865913	318.7910	13.881596	309.5046	12.504559	321.5834	14.686329
motorcycle	198.4633	145.631756	202.0276	145.528538	208.8445	143.729894	204.2736	130.567099	186.5056	173.160679
car	12.0164	7.848071	12.1062	7.671266	10.6989	9.828970	12.2819	6.822284	12.4182	7.522117
auto_rickshaw	1453.8143	1.379670	1453.5201	1.379391	1572.2673	1.205143	1512.2951	1.048777	1547.1887	1.411810
truck	8.2717	3.557302	8.2754	3.558891	8.3933	3.609573	8.1222	3.492983	8.5072	3.658566
bus	4.5461	5.740309	4.5756	5.578951	4.6480	5.447382	4.2986	6.968205	4.6928	5.461811
active_travel	80.4773	104.586739	96.5011	136.128383	83.8066	102.668049	75.3575	101.674414	86.4466	106.098996

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	51.1405	63.9421636	51.4019	60.3730069	53.6580	63.3976563	48.4786	63.4500826	55.3749	65.4347455
cycle	137.1429	6.7552158	93.6923	22.1219398	144.6793	6.2999863	139.8667	5.6508744	146.2490	6.6790174
motorcycle	149.4243	109.6471063	149.4053	107.6225951	157.3098	108.2629582	153.6700	98.2224491	140.6922	130.6253452
car	4.0463	2.6426754	4.0626	2.5743222	3.6451	3.3487427	4.1267	2.2922625	4.1170	2.4937846
auto_rickshaw	26.3042	0.0249627	26.1736	0.0248387	28.4549	0.0218106	27.3619	0.0189755	28.0067	0.0255561
truck	0.8430	0.3625425	0.8416	0.3619288	0.8502	0.3656130	0.8343	0.3587929	0.8569	0.3685185
bus	1.1679	1.4746521	1.1722	1.4292328	1.1806	1.3836254	1.1312	1.8337057	1.1839	1.3778704
active_travel	54.4001	70.6973794	58.4805	82.4949467	56.8933	69.6976425	51.2152	69.1009570	58.7563	72.1137630

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	75.5810	502.387887	77.2219	486.626649	77.4025	482.980082	71.6891	500.355194	110.4790	701.195196
cycle	121.7899	32.285115	77.1936	110.702295	125.7731	30.212892	121.4904	28.785893	170.1364	42.140910
car	35.9935	288.203709	36.2825	283.719718	33.9967	317.619463	37.0244	248.863192	42.4118	320.413372
motorcycle	214.8426	102.367438	219.4777	102.081773	222.7809	97.126701	221.8843	88.169300	160.9375	285.269276
other	1396.2134	48.821393	1423.8195	47.863830	1415.7170	46.645823	1390.9716	41.911017	1991.2638	67.121024
truck	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302
bus	0.9930	11.024186	0.9981	10.744651	1.0041	10.229512	0.9658	12.908362	1.0439	10.886419
active_travel	77.3532	534.673002	77.2166	597.328945	79.1956	513.192973	73.3242	529.141087	112.7197	743.336106

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	89.6864	596.14648	93.6229	589.98040	91.6691	572.00166	85.1241	594.12540	130.9911	831.38247
cycle	202.4014	53.65429	132.0005	189.30021	208.5157	50.08912	202.2362	47.91780	275.7941	68.31115
car	42.9944	344.26128	43.7168	341.85356	40.5235	378.59764	44.2551	297.46521	51.3637	388.04266
motorcycle	293.2581	139.73060	305.0524	141.88363	303.3918	132.27098	302.7773	120.31344	220.8089	391.39419
other	2115.9890	73.98979	2188.1688	73.55858	2142.3484	70.58727	2111.7059	63.62728	2941.9252	99.16568
truck	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497	3.9064	18.23497
bus	2.4306	26.98317	2.4607	26.49072	2.4754	25.22032	2.2985	30.71875	2.8824	30.05925
active_travel	94.0092	649.80077	100.7375	779.28061	96.0007	622.09078	88.9693	642.04320	136.4298	899.69363

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	64.2185	426.861104	64.8091	408.405162	65.8625	410.972115	60.8829	424.933604	93.6869	594.618207
cycle	75.5649	20.031388	46.8490	67.185522	78.1827	18.780857	75.2876	17.838626	107.4276	26.608629
car	30.3444	242.971370	30.4461	238.080316	28.7131	268.256661	31.1941	209.674613	35.2665	266.431553
motorcycle	158.9661	75.743612	160.4938	74.647626	165.1452	71.999021	164.2154	65.253648	118.4442	209.947839
other	964.6348	33.730385	973.6740	32.731513	979.0685	32.258889	960.1162	28.929022	1393.3134	46.965458
truck	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599
bus	0.4975	5.523495	0.4992	5.374665	0.5021	5.115349	0.4875	6.515138	0.5052	5.268801
active_travel	64.6537	446.892493	61.4796	475.590684	66.3192	429.752972	61.3559	442.772230	94.2030	621.226836

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	123.4527	18.6166299	122.7142	17.3711660	132.3903	18.2122461	112.8678	18.2715788	127.7199	18.3785932
car	96.8602	13.8778514	96.6407	13.4125351	92.0489	15.7054072	100.3608	11.6902682	102.8428	13.2646705
cycle	589.5159	4.4002943	404.9179	12.8182765	624.7642	4.2529262	573.0744	3.8696846	611.7571	4.2090415
motorcycle	1683.4631	46.0338484	1673.5241	43.8557017	1776.6691	44.6969378	1701.2228	36.9418398	1434.0961	71.5927529
truck	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525
bus	1.4192	0.3384842	1.4246	0.3271478	1.4379	0.3009097	1.3934	0.3992569	1.4315	0.3133187
active_travel	145.4337	23.0169242	174.2894	30.1894425	155.6061	22.4651724	131.2952	22.1412633	149.8074	22.5876347

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	191.1830	28.830353	189.6964	26.853036	202.7135	27.886258	175.4728	28.406384	201.5211	28.998403
car	163.6035	23.440636	162.8140	22.596560	154.6246	26.382091	169.5064	19.744516	175.2634	22.605487
cycle	1371.7797	10.239307	968.1797	30.649166	1438.9063	9.794995	1341.3725	9.057617	1430.4802	9.842061
motorcycle	2408.0795	65.848290	2389.4102	62.615929	2521.0427	63.423679	2449.5091	53.190783	2050.6828	102.373915
truck	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105
bus	10.4867	2.501054	10.5264	2.417290	10.6247	2.223417	10.2960	2.950103	10.5771	2.315107
active_travel	246.8638	39.069660	331.9712	57.502202	261.0009	37.681252	222.1573	37.464001	257.6006	38.840465

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	82.4167	12.4284240	81.9919	11.6066006	89.1539	12.2644460	75.1124	12.1595600	83.7498	12.0513899
car	59.0792	8.4646953	59.0329	8.1930372	56.3742	9.6185852	61.2084	7.1297060	62.1502	8.0161300
cycle	265.6070	1.9825573	178.2568	5.6429841	284.0569	1.9336467	256.9235	1.7348760	273.6465	1.8827566
motorcycle	1213.7940	33.1908722	1207.2834	31.6375864	1288.0508	32.4044177	1219.9014	26.4900065	1032.8638	51.5624885
truck	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218
bus	0.1921	0.0458093	0.1928	0.0442751	0.1946	0.0407241	0.1886	0.0540341	0.1937	0.0424035
active_travel	91.0566	14.4109813	99.5851	17.2495847	98.3437	14.1980926	82.3924	13.8944361	92.4151	13.9341465

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	23.1783	5.7270408	22.9724	5.3696284	23.9969	5.5994635	22.0149	5.7345020	22.1648	5.2573115
car	24.7706	7.7887755	24.8335	7.5128334	22.1582	8.2103125	25.5609	6.9716480	24.9417	7.1698625
cycle	12.0119	0.2290816	7.7909	0.5803603	12.6924	0.2145885	12.0190	0.2022379	11.5231	0.2094559
motorcycle	48.6087	1.1454082	49.8768	1.0623443	48.7961	1.0927623	48.2422	1.0829700	75.2644	6.6200923
truck	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714
active_travel	22.3781	5.9561224	19.3034	5.9499886	23.2332	5.8140520	21.4084	5.9367400	21.4074	5.4667674

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	45.1556	11.157355	44.8180	10.475872	46.4876	10.847459	43.3964	11.304005	43.3213	10.275437
car	43.5968	13.708436	43.6751	13.212963	38.8753	14.404514	45.2756	12.348745	43.8202	12.596775
cycle	95.4468	1.820289	61.9352	4.613692	100.6759	1.702108	95.8615	1.613013	91.6604	1.666111
motorcycle	184.8284	4.355272	189.7852	4.042302	185.1380	4.146066	184.1012	4.132813	289.7147	25.482667
truck	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948
active_travel	48.7592	12.977644	48.9548	15.089564	50.1486	12.549567	46.5799	12.917018	46.7620	11.941548

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	12.2007	3.0146415	12.0765	2.8228002	12.7051	2.9646131	11.4497	2.9824410	11.6328	2.7592036
car	14.7127	4.6262226	14.7593	4.4651059	13.1999	4.8909623	15.0949	4.1170669	14.8368	4.2650665
cycle	1.5161	0.0289132	0.9829	0.0732164	1.6048	0.0271327	1.5112	0.0254288	1.4529	0.0264091
motorcycle	12.8949	0.3038536	13.2215	0.2816088	12.9757	0.2905837	12.7460	0.2861308	19.7138	1.7339827
truck	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958
active_travel	11.4351	3.0435547	9.3955	2.8960166	11.9551	2.9917458	10.8466	3.0078697	10.9082	2.7856127

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	42.4175	13.5158163	42.2800	12.6547013	44.0468	13.0232368	39.9867	13.6616246	41.0912	12.5582052
car	11.3746	6.8724490	11.4111	6.6597375	10.4038	7.1677181	11.7537	6.2832051	11.3960	6.4565350
motorcycle	196.4076	0.9163265	197.6672	0.8384616	199.0882	0.9130464	196.5092	0.8056257	105.9926	9.9025494
cycle	79.6979	0.4581633	34.7248	2.9720017	84.9547	0.4186142	76.9577	0.4339837	76.2770	0.4384974
truck	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714
bus	0.8942	0.4581633	0.8901	0.4453585	0.9257	0.4206076	0.8442	0.5104985	0.8904	0.4222599
active_travel	43.0782	13.9739796	40.5999	15.6267030	44.7174	13.4418510	40.5870	14.0956082	41.7408	12.9967026

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	71.1946	22.685291	71.1114	21.284149	73.3576	21.689524	67.9618	23.219469	69.2232	21.155867
car	20.1388	12.167700	20.2016	11.790097	18.3560	12.646423	20.8988	11.171898	20.1467	11.414301
motorcycle	865.2334	4.036689	871.6927	3.697533	873.6110	4.006503	869.7327	3.565629	506.4015	47.311479
cycle	345.8007	1.987922	150.7471	12.902047	367.8404	1.812533	335.0048	1.889176	331.1320	1.903595
truck	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948
bus	6.7241	3.445358	6.6945	3.349381	6.9609	3.162836	6.3473	3.838162	6.6961	3.175589
active_travel	76.0612	24.673212	88.8196	34.186197	78.1849	23.502057	72.2980	25.108645	74.0588	23.059462

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	27.1075	8.6374759	26.9757	8.0740143	28.3268	8.3753334	25.2909	8.6407575	26.2049	8.0087024
car	6.6383	4.0107847	6.6600	3.8869032	6.0894	4.1952941	6.8345	3.6535356	6.6588	3.7726275
motorcycle	49.9916	0.2332324	50.2629	0.2132044	50.8597	0.2332496	49.7828	0.2040937	25.3953	2.3725990
cycle	18.4174	0.1058772	8.0205	0.6864495	19.6720	0.0969336	17.7272	0.0999679	17.6178	0.1012802
truck	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958
bus	0.1190	0.0609845	0.1185	0.0592750	0.1232	0.0559867	0.1124	0.0679640	0.1185	0.0562019
active_travel	26.9535	8.7433531	22.7607	8.7604638	28.1849	8.4722670	25.1681	8.7407254	26.0464	8.1099826

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	17.9732	2.7678847	17.8962	2.6311990	16.7947	2.4680320	18.3474	3.0550206	20.6134	3.0886393
car	9.2205	3.3147384	9.2521	3.1833722	7.4022	3.1634924	10.1905	3.0615393	10.8423	3.3890244
cycle	63.1481	0.2634506	24.4782	1.4435062	61.7079	0.2326665	68.0307	0.2552647	72.8606	0.3026410
other	37.8341	0.2525746	37.0087	0.2457139	30.9732	0.0937203	37.5663	0.2171932	51.3514	0.2875214
motorcycle	27.1385	0.2232507	26.9528	0.2078629	27.5623	0.1681970	29.7744	0.2079363	22.5797	1.5266643
truck	5.4150	1.3523323	5.4150	1.3523323	5.4150	1.3523323	5.4150	1.3523323	5.4150	1.3523323
active_travel	19.1647	3.0313353	19.7804	4.0747052	17.9183	2.7006986	19.4424	3.3102853	22.0228	3.3912802

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	119.9598	18.473911	119.3115	17.541846	110.6255	16.256712	121.5976	20.247141	158.7968	23.793499
car	55.2554	19.864097	55.3087	19.030030	43.6352	18.648568	60.8241	18.273367	74.5462	23.301294
cycle	912.0607	3.805072	351.4597	20.725981	863.0503	3.254088	971.5925	3.645609	1186.4929	4.928336
other	471.5242	3.147825	461.5169	3.064172	469.3911	1.420307	452.8915	2.618438	692.5892	3.877876
motorcycle	326.3256	2.684467	324.8384	2.505185	326.6584	1.993414	356.4519	2.489361	290.5413	19.644167
truck	27.1725	6.786011	27.1725	6.786011	27.1725	6.786011	27.1725	6.786011	27.1725	6.786011
active_travel	140.8522	22.278982	185.7690	38.267827	129.4480	19.510800	140.3297	23.892750	186.5177	28.721835

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3.1471	0.4846564	3.1368	0.4611929	2.9828	0.4383377	3.2212	0.5363627	3.2815	0.4916874
car	1.7107	0.6149919	1.7194	0.5915926	1.3894	0.5937924	1.8938	0.5689499	1.8585	0.5809272
cycle	4.7055	0.0196310	1.8070	0.1065625	4.7340	0.0178491	5.1282	0.0192421	5.0028	0.0207800
other	3.3810	0.0225709	3.3056	0.0219467	2.2290	0.0067448	3.4872	0.0201618	4.3368	0.0242824
motorcycle	2.3240	0.0191180	2.3025	0.0177568	2.3966	0.0146253	2.5593	0.0178732	1.8284	0.1236195
truck	1.1364	0.2838114	1.1364	0.2838114	1.1364	0.2838114	1.1364	0.2838114	1.1364	0.2838114
active_travel	3.1882	0.5042874	2.7561	0.5677554	3.0267	0.4561868	3.2632	0.5556048	3.3279	0.5124674

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	55.8247	121.276050	55.6451	114.770656	59.2542	119.914637	53.7800	124.916765	56.9155	117.874282
car	26.0109	71.218394	26.1250	69.030972	24.4742	80.647069	27.3167	62.950342	26.6320	68.753428
cycle	116.1543	28.214316	87.7716	55.885272	124.8994	26.695136	118.2547	25.257242	118.9685	27.078461
motorcycle	264.5177	43.004078	262.8207	41.923455	274.1286	42.054737	270.5038	37.056662	203.0836	121.359064
other	163.7739	2.502883	163.0067	2.381088	173.0240	2.435841	164.2508	2.294345	168.5256	2.406343
truck	4.2952	7.508648	4.2604	7.447701	4.3774	7.652287	4.2536	7.435896	4.3238	7.558585
bus	1.1412	5.233301	1.1395	5.125841	1.1777	4.984627	1.0948	5.833617	1.1616	5.027046
active_travel	61.8918	149.490366	63.2233	170.655929	65.5250	146.609773	59.2094	150.174008	63.0599	144.952743

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	67.6505	146.966993	68.0749	140.407534	71.4685	144.633099	65.1658	151.363033	70.1889	145.364170
car	31.7192	86.847749	32.0056	84.569490	29.7717	98.103103	33.3368	76.823547	32.7636	84.582592
cycle	157.6242	38.287521	120.1427	76.496384	168.7135	36.059643	160.4204	34.263143	163.4580	37.204732
motorcycle	344.0606	55.935793	344.0652	54.883040	355.7515	54.576695	351.8056	48.194306	264.4136	158.008743
other	331.5203	5.066475	332.0475	4.850317	349.5271	4.920659	332.2543	4.641111	343.5146	4.904977
truck	7.5695	13.232408	7.5324	13.167576	7.7138	13.484688	7.4883	13.090526	7.6565	13.384586
bus	2.2185	10.173820	2.2185	9.979537	2.3041	9.751601	2.1105	11.245407	2.2724	9.834331
active_travel	76.6989	185.254514	80.3569	216.903918	80.7578	180.692742	73.1872	185.626176	79.4244	182.568903

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	47.0585	102.232074	46.8394	96.608426	50.0893	101.367270	45.3105	105.244440	47.3265	98.015111
car	21.6201	59.196241	21.7055	57.353184	20.3765	67.144253	22.6751	52.254061	21.9938	56.779290
cycle	87.2227	21.186721	65.4416	41.667497	94.1208	20.116724	88.8181	18.970072	88.4051	20.121918
motorcycle	205.7076	33.442996	204.1798	32.569432	213.4565	32.746883	210.3139	28.811176	157.6230	94.192591
other	81.6705	1.248134	81.1894	1.185958	86.3767	1.216015	81.9358	1.144524	83.4928	1.192177
truck	2.4584	4.297523	2.4381	4.262124	2.5041	4.377451	2.4363	4.259041	2.4649	4.308957
bus	0.6065	2.781338	0.6060	2.725762	0.6224	2.634114	0.5859	3.121807	0.6146	2.659746
active_travel	51.0977	123.418795	51.2274	138.275923	54.2954	121.483994	48.9743	124.214512	51.3941	118.137029

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	165.7016	391.444962	164.6165	370.617587	175.4903	383.747809	154.7378	388.664038	192.9063	433.450233
other	66.1872	1.441407	66.4249	1.331177	69.0131	1.417556	66.1668	1.173612	79.3621	1.450531
car	60.8164	164.732230	60.9674	158.989484	57.6100	189.025226	62.9418	139.372145	65.7630	165.047236
motorcycle	1269.3434	424.391408	1263.8480	411.799023	1328.9681	404.024976	1302.6142	348.372286	1044.4529	900.679266
cycle	591.3154	37.682498	350.3698	193.146720	628.0008	34.912162	584.8816	33.444767	662.6202	40.340836
truck	8.4281	14.619985	8.3786	14.534102	8.5156	14.771655	8.2803	14.363549	8.8919	15.424553
bus	2.7344	9.678019	2.7344	9.339142	2.8694	8.975772	2.5053	11.035938	3.0343	9.915532
active_travel	176.8813	429.127460	201.1529	563.764307	186.7091	418.659971	164.3124	422.108806	205.2974	473.791069

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	179.9464	425.096360	180.1337	405.55317	190.2082	415.931837	168.0988	422.223644	210.4037	472.766103
other	141.5535	3.082714	142.5416	2.85658	147.5558	3.030852	141.4950	2.509722	169.7662	3.102881
car	67.3115	182.325381	67.6848	176.50680	63.6777	208.934005	69.6970	154.330160	73.1308	183.538297
motorcycle	1369.5022	457.878429	1371.6929	446.93808	1432.9535	435.638000	1405.8699	375.987096	1126.2493	971.216003
cycle	731.6735	46.627041	437.7223	241.30112	775.7365	43.125163	724.1050	41.405855	818.9563	49.858703
truck	11.7678	20.413159	11.7147	20.32106	11.9004	20.643291	11.5391	20.016555	12.4853	21.657895
bus	4.1434	14.664811	4.1549	14.19078	4.3509	13.610136	3.7889	16.690460	4.6105	15.066228
active_travel	194.4388	471.723401	230.7997	646.85429	204.7249	459.057000	180.4750	463.629499	226.4574	522.624806

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	153.1004	361.6766457	151.5681	341.2404610	162.4203	355.1674576	142.9140	358.9654650	177.3756	398.5535508
other	30.9644	0.6743341	31.0058	0.6213666	32.2938	0.6633277	30.9569	0.5490887	37.1162	0.6783864
car	55.0631	149.1484330	55.1291	143.7643779	52.2235	171.3514756	56.9565	126.1188056	59.2678	148.7460438
motorcycle	1178.4812	394.0125946	1170.2809	381.3120956	1234.4120	375.2785936	1208.7966	323.2816439	970.0541	836.5217342
cycle	478.9582	30.5223625	281.1449	154.9854051	509.5177	28.3253866	473.4761	27.0743650	537.1848	32.7042322
truck	6.0664	10.5232198	6.0287	10.4577046	6.1239	10.6229093	5.9706	10.3570196	6.3661	11.0429930
bus	1.8068	6.3947532	1.8041	6.1616859	1.8945	5.9262859	1.6584	7.3055374	1.9993	6.5331791
active_travel	161.6598	392.1990082	177.0550	496.2258661	171.0257	383.4928442	150.2720	386.0398300	186.8674	431.2577830

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	21.4810	9.1632653	21.1110	8.5080247	22.6724	9.1890462	20.2388	9.0875941	20.6915	8.5269724
car	15.7637	8.0178571	15.7817	7.7545064	14.4714	8.7644219	16.5059	6.7402399	15.8278	7.4246532
cycle	41.0747	2.0617347	22.0003	3.0896940	43.9057	1.9522379	39.6563	1.7454868	40.3528	1.8973626
motorcycle	49.0321	1.8326531	49.6047	1.7399277	50.0005	1.7079457	47.6393	1.6947399	60.1797	8.5517640
truck	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633
active_travel	23.5438	11.2250000	21.3408	11.5977188	24.7716	11.1412840	21.9722	10.8330809	22.7051	10.4243349

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	65.5424	27.958763	64.6134	26.040170	68.5190	27.770468	62.5670	28.093772	63.3403	26.102498
car	52.2317	26.566565	52.2751	25.685852	47.9061	29.013697	54.8276	22.389040	52.4521	24.604774
cycle	131.8570	6.618535	71.8075	10.084538	140.3832	6.242042	128.4003	5.651584	129.1781	6.073866
motorcycle	201.5855	7.534577	203.9851	7.154957	206.7954	7.063830	196.2608	6.981871	259.4380	36.867139
truck	10.8340	2.695672	10.8340	2.695672	10.8340	2.695672	10.8340	2.695672	10.8340	2.695672
active_travel	72.5240	34.577298	66.4725	36.124708	75.6236	34.012510	68.4442	33.745356	70.0829	32.176364

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	7.7624	3.3112339	7.6058	3.0652648	8.2472	3.3425750	7.2483	3.2546385	7.4680	3.0775632
car	5.0438	2.5654353	5.0487	2.4807299	4.6361	2.8078116	5.2712	2.1524940	5.0624	2.3747076
cycle	13.4436	0.6748007	7.0994	0.9970361	14.4128	0.6408560	12.8870	0.5672274	13.2346	0.6222829
motorcycle	12.4290	0.4645543	12.5726	0.4409936	12.5885	0.4300060	12.0691	0.4293522	14.6815	2.0863006
truck	0.3206	0.0797619	0.3206	0.0797619	0.3206	0.0797619	0.3206	0.0797619	0.3206	0.0797619
active_travel	8.3605	3.9860347	7.4750	4.0623009	8.8568	3.9834310	7.7517	3.8218659	8.0586	3.6998461

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	11.0004	2.3948036	11.0595	2.2631110	10.8254	2.1944501	11.1143	2.6300577	10.8331	2.2662004
car	9.2122	3.3322651	9.3067	3.2105610	8.1932	3.4624536	9.3739	2.9133392	9.2157	3.0784470
cycle	29.8623	0.9811944	17.6752	1.7252025	30.0595	0.8954032	30.1863	0.9186798	29.7098	0.9117714
motorcycle	27.0785	0.6971671	27.4569	0.6313930	26.6967	0.6645132	27.1469	0.6804225	34.5797	3.1255875
bus	1.6767	0.4458507	1.6639	0.4234903	1.7065	0.3813619	1.6003	0.5415987	1.6836	0.4042502
active_travel	13.4739	3.3759980	13.1960	3.9883136	13.2896	3.0898533	13.2876	3.5487375	13.2481	3.1779718

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	57.0366	12.416893	57.1599	11.696637	56.1650	11.385424	57.3182	13.563604	55.9180	11.69761
car	54.6535	19.769387	55.1746	19.033825	48.2881	20.406656	55.6673	17.300960	54.6910	18.26925
cycle	227.8917	7.487906	145.1288	14.165436	229.1622	6.826205	229.5663	6.986553	225.9179	6.93324
motorcycle	252.5419	6.501993	254.4001	5.850124	249.2240	6.203494	250.0589	6.267592	345.8363	31.25946
bus	13.0164	3.461202	12.9728	3.301841	13.1341	2.935234	12.9920	4.396885	13.0862	3.14221
active_travel	79.4419	19.904798	85.5692	25.862074	78.3291	18.211629	76.9466	20.550157	77.6669	18.63085

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2.2802	0.4963990	2.2998	0.4706056	2.2462	0.4553326	2.3116	0.5470097	2.2547	0.4716763
car	1.7547	0.6347153	1.7744	0.6121283	1.5756	0.6658387	1.7810	0.5535259	1.7562	0.5866647
cycle	4.4742	0.1470087	2.5153	0.2455072	4.5097	0.1343322	4.5309	0.1378919	4.4710	0.1372100
motorcycle	3.5218	0.0906726	3.6076	0.0829604	3.4677	0.0863160	3.5725	0.0895420	4.2238	0.3817775
bus	0.2661	0.0707632	0.2631	0.0669763	0.2727	0.0609398	0.2452	0.0829924	0.2671	0.0641245
active_travel	2.5679	0.6434076	2.3694	0.7161128	2.5362	0.5896648	2.5645	0.6849015	2.5383	0.6088864

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	126.0911	112.437521	125.5534	105.060196	137.1995	113.404213	112.6330	99.525325	134.6884	113.742491
cycle	449.4991	8.195155	248.4104	30.020164	494.1879	8.126056	427.4301	6.271682	484.3127	8.166965
car	103.3258	22.290821	104.5812	21.479464	84.6658	25.537586	106.9955	17.124905	112.8271	22.388541
motorcycle	555.4034	23.110336	547.0936	22.744595	601.5083	21.955051	551.7119	16.492601	415.7370	57.246593
truck	60.4272	4.917093	60.2578	4.903308	60.9586	4.960336	59.4646	4.838761	60.9911	4.962982
bus	14.8685	10.325895	14.8281	10.036140	15.6141	9.940206	13.5670	11.013514	15.6400	9.957306
active_travel	132.5709	120.632676	141.0575	135.080360	144.1627	121.530269	117.7750	105.797007	141.5332	121.909456

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	146.5418	130.673807	149.0035	124.682719	158.5548	131.05576	131.3540	116.067696	158.8291	134.128973
cycle	612.2645	11.162653	338.4134	40.896948	671.6003	11.04329	582.9148	8.553109	665.3647	11.220046
car	134.9611	29.115603	138.9843	28.545362	110.3651	33.28920	139.6293	22.348022	148.5544	29.477984
motorcycle	718.4230	29.893580	720.2821	29.944649	774.8126	28.28066	715.7212	21.395411	541.0095	74.496505
truck	99.6801	8.111185	99.4768	8.094645	101.1107	8.22760	97.0370	7.896115	101.2925	8.242393
bus	21.4361	14.887001	21.5643	14.595438	22.5423	14.35085	19.4613	15.798414	22.6777	14.437853
active_travel	155.8730	141.836460	172.9064	165.579667	168.5620	142.09905	138.7299	124.620805	168.7458	145.349019

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	110.1818	98.250982	109.3044	91.463458	120.3905	99.510466	98.1309	86.710913	116.0139	97.972061
cycle	330.6642	6.028587	182.7034	22.079531	364.2901	5.990112	314.0743	4.608412	353.3496	5.958534
car	79.7131	17.196769	80.4436	16.521950	65.4214	19.732929	82.5556	13.213223	86.3362	17.131890
motorcycle	433.6617	18.044663	425.6159	17.694342	471.2738	17.201494	429.4226	12.836945	322.6920	44.434394
truck	38.3171	3.117948	38.2450	3.112079	38.5138	3.133954	37.9653	3.089320	38.5137	3.133944
bus	10.3724	7.203449	10.3308	6.992247	10.8737	6.922415	9.5094	7.719590	10.8519	6.908907
active_travel	114.5994	104.279569	118.5671	113.542989	125.1478	105.500579	101.6582	91.319324	120.6603	103.930595

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	301.9427	393.57928	301.6620	372.77208	350.8782	442.72132	294.4632	406.35734	296.6523	362.27341
car	150.0298	33.24149	149.2195	32.33756	114.9134	56.31064	155.5880	30.32793	154.5288	28.57603
motorcycle	147.0005	398.89792	146.6818	387.47077	173.0609	438.73062	153.4987	366.31888	136.5357	403.45888
cycle	134.2029	25.26353	98.0517	49.56183	158.6973	27.38381	136.6650	23.47481	134.4922	22.33088
other	1904.6280	15.95592	1904.0112	15.19787	2164.7348	16.76539	1931.3472	14.66413	1905.4894	13.87662
truck	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660
bus	13.2405	15.95592	13.2658	15.46116	13.9663	15.71304	12.5859	19.96284	13.4891	13.69853
active_travel	280.7750	418.84281	242.5542	422.33391	327.7580	470.10513	276.9960	429.83214	277.2435	384.60429

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	371.5244	484.27825	374.6662	462.98534	430.3182	542.95486	362.5790	500.35672	364.7144	445.39117
car	269.2350	59.65331	269.1784	58.33403	206.6674	101.27252	278.9863	54.38129	277.0075	51.22522
motorcycle	182.2539	494.56104	183.6091	485.01715	213.5243	541.31030	190.3608	454.28880	169.2592	500.15575
cycle	218.8543	41.19906	159.8716	80.80969	258.5139	44.60754	223.0063	38.30557	219.2870	36.41009
other	4377.9826	36.67631	4398.6062	35.10980	4879.9813	37.79437	4436.7777	33.68710	4388.2848	31.95744
truck	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721
bus	30.0178	36.17391	30.1076	35.09017	32.2523	36.28587	28.2523	44.81193	30.5965	31.07154
active_travel	352.2583	525.47730	312.3116	543.79503	409.6493	587.56240	347.1293	538.66229	347.3083	481.80126

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	247.9787	323.237641	247.3940	305.711535	288.5894	364.128309	241.6298	333.447576	243.7139	297.624700
car	84.2363	18.663888	83.6731	18.132918	64.3567	31.536515	87.4094	17.038244	86.8269	16.056343
motorcycle	120.0940	325.885047	119.6506	316.065968	141.7622	359.384601	125.3135	299.056020	111.5301	329.567876
cycle	82.5098	15.532358	60.2899	30.474529	97.6375	16.847709	83.9847	14.425976	82.6981	13.731065
other	902.3051	7.559011	900.4297	7.187256	1037.6991	8.036750	915.1521	6.948471	901.5924	6.565798
truck	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291
bus	6.1290	7.385980	6.1421	7.158532	6.3697	7.166302	5.8707	9.311704	6.2412	6.338076
active_travel	227.0974	338.769999	193.0779	336.186064	265.6170	380.976017	224.1796	347.873552	224.4420	311.355765

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	773.5065	331.988873	782.0957	322.121475	839.8665	334.674302	719.7978	309.819854	790.3281	325.419866
car	340.3576	188.431605	347.5290	187.447199	328.4044	206.687237	357.2409	166.355287	358.5359	187.001715
cycle	2248.8923	7.715949	884.0327	63.492035	2457.7079	7.714745	2114.7016	7.023981	2365.4759	7.097137
motorcycle	4250.9575	47.717055	4366.8573	45.055619	4683.5968	43.421691	4155.3838	39.978451	2521.6279	221.929489
other	842.8863	2.030513	857.6268	1.972113	934.2151	1.807239	792.6242	1.909432	876.4097	1.951326
truck	28.5437	6.294590	28.7292	6.335491	30.0751	6.632304	26.7905	5.907966	29.1464	6.427495
bus	54.4479	20.305130	55.2230	20.138646	59.9549	19.573502	47.0296	22.012412	56.9881	19.755832
active_travel	785.2071	339.704822	797.2318	385.613510	852.5112	342.389047	730.4795	316.843836	801.7227	332.517003

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	840.9780	360.94763	869.4048	358.081450	909.5665	362.44871	785.2229	337.980537	873.8740	359.820101
car	378.8414	209.73736	395.2676	213.196085	364.6257	229.48377	398.1126	185.387893	404.4883	210.969123
cycle	3142.8907	10.78326	1235.3451	88.723609	3430.0280	10.76686	2958.0509	9.825166	3333.1923	10.000577
motorcycle	5084.4030	57.07249	5342.6575	55.123565	5579.0590	51.72353	4984.4674	47.954965	3042.8276	267.800487
other	1599.5435	3.85330	1647.1856	3.787703	1771.0828	3.42616	1504.8986	3.625301	1671.1797	3.720882
truck	47.0713	10.38039	48.0761	10.601974	49.2341	10.85734	44.5457	9.823436	48.2895	10.649036
bus	72.2510	26.94441	74.7407	27.256364	79.0875	25.81976	62.8675	29.425428	76.3004	26.450757
active_travel	859.2334	371.73088	923.7415	446.805059	929.2659	373.21556	801.8617	347.805703	891.6645	369.820678

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	714.4764	306.653172	714.6212	294.330795	778.3747	310.1707063	662.7136	285.249326	720.2203	296.552778
car	307.3309	170.147104	310.4956	167.472453	297.1719	187.0304722	322.1475	150.013439	320.2350	167.025113
cycle	1610.3582	5.525139	633.0761	45.468100	1762.0982	5.5312262	1512.9144	5.025145	1681.4761	5.044933
motorcycle	3603.2851	40.446923	3656.4861	37.726272	3982.0901	36.9180129	3513.6795	33.804691	2126.4634	187.150905
other	444.4965	1.070792	448.5796	1.031509	493.1082	0.9539177	417.7946	1.006467	460.0774	1.024362
truck	19.1040	4.212908	19.0255	4.195599	20.1850	4.4512857	17.8861	3.944319	19.3735	4.272328
bus	41.5629	15.499978	41.6626	15.193457	45.9993	15.0174190	35.6764	16.698515	43.1235	14.949470
active_travel	721.5813	312.178311	702.5130	339.798894	786.0632	315.7019324	669.2242	290.274472	727.1740	301.597710

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3094.2514	869.503820	3071.2608	819.077306	3237.1075	871.483409	2882.1732	845.202901	3022.6147	802.275552
cycle	2118.5811	101.678865	1553.4986	163.376648	2304.0135	99.225450	2113.3793	89.202782	2151.0639	89.890486
motorcycle	2987.9869	758.479472	3004.0498	727.544172	3207.9593	745.935634	3032.0134	669.590133	2744.4046	862.006978
car	771.7651	123.734206	778.9827	120.455848	687.0673	142.358348	802.8052	111.495589	781.6358	111.488393
truck	604.7529	49.717974	599.4543	49.282368	618.9958	50.888912	596.5885	49.046762	597.3069	49.105829
bus	41.1931	7.476387	41.2994	7.237916	43.2860	7.180194	36.9933	9.295213	42.1380	6.723061
active_travel	2951.9226	971.182685	2642.0151	982.453953	3108.4263	970.708860	2785.4413	934.405683	2904.0615	892.166038

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3342.1691	939.17024	3317.1600	884.65637	3490.7468	939.76733	3116.2655	913.85094	3269.6886	867.85497
cycle	2449.5103	117.56143	1796.0766	188.88783	2661.8544	114.63635	2444.6463	103.18510	2489.0366	104.01398
motorcycle	3236.0329	821.44420	3253.5577	787.97193	3470.7919	807.05118	3287.1268	725.92940	2973.9639	934.11069
car	915.8681	146.83770	924.2700	142.92195	814.6127	168.78540	953.4198	132.41332	928.3883	132.42038
truck	790.8301	65.01577	783.6159	64.42267	810.0568	66.59644	779.8156	64.11024	780.8341	64.19398
bus	82.1090	14.90248	82.3201	14.42699	86.2788	14.31175	73.7326	18.52660	84.0004	13.40217
active_travel	3211.9499	1056.73166	2886.9750	1073.54420	3376.4358	1054.40368	3031.7605	1017.03604	3163.5000	971.86895

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2871.0351	806.778652	2849.8958	760.04126	3008.1502	809.844257	2671.6742	783.473657	2800.4603	743.310361
cycle	1832.5075	87.949090	1343.7899	141.32224	1994.4301	85.892824	1827.1461	77.121280	1859.1420	77.691407
motorcycle	2759.6862	700.526943	2774.4118	671.92864	2965.8036	689.628006	2797.4438	617.787756	2533.2453	795.682677
car	651.0149	104.374776	657.2158	101.62676	580.0834	120.191601	676.7019	93.982045	658.7836	93.965400
truck	462.9408	38.059314	459.0491	37.73937	473.4912	38.926683	456.8893	37.561809	457.3955	37.603420
bus	20.6661	3.750821	20.7197	3.63122	21.7166	3.602306	18.5604	4.663631	21.1381	3.372566
active_travel	2719.5368	894.727741	2423.9467	901.36350	2868.3500	895.737081	2565.4132	860.594937	2672.4170	821.001768

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	260.5948	116.631639	257.0656	108.881919	366.1092	156.587457	227.8220	105.231877	286.7962	120.253429
cycle	364.6108	15.924705	225.9411	29.182443	511.0473	21.154623	331.0308	12.385897	403.7742	15.660343
motorcycle	444.5930	117.753097	447.5241	113.355938	604.5735	145.967923	440.4127	89.862289	409.0227	150.084834
other	136.9948	2.018625	137.9126	1.971744	206.4270	2.491687	132.8975	1.579892	136.4260	1.537186
car	391.2613	8.074498	394.3473	7.727964	251.6067	27.576121	377.4074	5.880706	415.9439	7.870325
truck	596.9618	7.177332	594.7043	7.150189	640.3248	7.698689	586.0847	7.046555	604.7627	7.271122
bus	6.6981	3.364374	6.7248	3.224167	6.9593	3.156327	6.4976	4.011435	6.8566	2.932734
active_travel	269.8429	132.556343	249.7924	138.064362	378.8989	177.742080	235.5559	117.617773	296.7005	135.913772

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	309.2536	138.409360	305.0252	129.195551	435.2654	186.166071	270.9959	125.174028	339.4335	142.324183
cycle	486.4520	21.246227	301.3969	38.928265	683.8560	28.307980	441.9235	16.535076	538.1930	20.873763
motorcycle	521.5269	138.129480	524.8080	132.931598	712.7911	172.095922	516.7253	105.433192	479.3681	175.897008
other	286.1971	4.217129	288.0949	4.118907	431.6589	5.210361	277.6543	3.300769	284.9615	3.210817
car	656.5570	13.549432	661.5689	12.964666	419.7886	46.008873	633.2731	9.867566	699.5582	13.236761
truck	1011.7001	12.163772	1004.9384	12.082475	1141.7253	13.727078	979.2401	11.773502	1034.9109	12.442837
bus	15.1414	7.605404	15.1723	7.274259	17.0039	7.711990	14.2678	8.808556	15.8296	6.770730
active_travel	325.0084	159.655587	304.1773	168.123816	457.2017	214.474051	283.8042	141.709104	356.2620	163.197946

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	222.0787	99.3934050	219.1270	92.8127527	310.4248	132.770852	193.9410	89.5821087	244.8198	102.6527483
cycle	273.3274	11.9378187	169.4008	21.8797256	381.9537	15.810838	248.0080	9.2795038	302.9659	11.7505036
motorcycle	379.1976	100.4327391	381.8093	96.7106605	513.0137	123.861753	375.5771	76.6331699	349.1626	128.1200288
other	65.5774	0.9662861	66.0213	0.9439097	98.7192	1.191595	63.6125	0.7562288	65.3158	0.7359488
car	233.7232	4.8233685	235.6241	4.6174898	151.1456	16.565573	225.4646	3.5131548	247.9106	4.6908658
truck	371.0379	4.4610263	370.2842	4.4519639	385.4993	4.634897	367.3932	4.4172047	373.6596	4.4925471
bus	3.5436	1.7798978	3.5596	1.7066168	3.6016	1.633492	3.4640	2.1385898	3.6066	1.5426390
active_travel	226.6352	111.3312237	207.5069	114.6924783	316.7367	148.581690	197.9925	98.8616125	249.7429	114.4032519

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	55.7689	14.9479620	55.4418	14.0650000	64.5672	16.3371460	54.7342	14.5421738	53.3396	13.3901600
cycle	54.9226	1.5734697	41.7996	2.7741536	64.2107	1.6890972	54.6481	1.4836250	53.0340	1.3859909
car	52.3368	1.9668371	52.4570	1.8708332	44.9385	3.1433290	57.1950	1.5991158	54.7028	1.5781550
motorcycle	240.8508	29.8959240	240.1873	28.2118567	281.7505	30.3993710	252.5085	24.5313742	212.7471	33.0440778
other	872.1425	2.7535720	857.0449	2.7059050	1207.9779	1.5431918	966.0764	1.8159822	1042.3633	1.2365035
truck	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674
bus	74.1398	7.4739810	74.1278	7.0655719	88.1343	7.5272325	64.5099	9.0193134	75.7566	5.9903494
active_travel	55.6872	16.5214317	52.6129	16.8391536	64.5337	18.0262432	54.7262	16.0257989	53.3108	14.7761509

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	90.2092	24.179136	89.3703	22.672318	103.2000	26.112211	88.2414	23.444608	86.8670	21.806750
cycle	160.0954	4.586549	121.6272	8.072151	185.8876	4.889876	158.9694	4.315812	155.2020	4.056048
car	199.3294	7.490879	199.6425	7.120082	174.5601	12.210016	214.4203	5.994979	207.7403	5.993226
motorcycle	344.5805	42.771502	342.6140	40.242663	402.5123	43.428930	362.6217	35.228943	302.2129	46.939990
other	2020.1818	6.378219	1981.1146	6.254874	2779.4703	3.550773	2233.2259	4.197906	2422.1763	2.873307
truck	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586
bus	153.9408	15.518671	153.6766	14.647852	178.1452	15.214729	135.3978	18.930351	158.0852	12.500369
active_travel	96.9577	28.765685	96.0592	30.744469	110.9870	31.002087	94.7986	27.760421	93.3102	25.862798

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	35.8453	9.6077603	35.7156	9.0606710	41.6961	10.5501633	35.2074	9.3541602	34.1852	8.5817081
cycle	19.1316	0.5480992	14.5779	0.9675061	22.4582	0.5907754	19.0564	0.5173571	18.4212	0.4814190
car	16.0861	0.6045224	16.1378	0.5755424	13.6680	0.9560430	17.7446	0.4961222	16.8258	0.4854167
motorcycle	173.6857	21.5589615	173.5067	20.3797098	202.4626	21.8446353	181.4449	17.6274972	154.4297	23.9861576
other	384.7574	1.2147752	378.5949	1.1953187	534.6117	0.6829664	426.5847	0.8018725	458.9709	0.5444542
truck	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370
bus	41.4031	4.1738200	41.4513	3.9509796	49.5428	4.2312714	36.0553	5.0410017	42.1493	3.3328960
active_travel	34.2314	10.1558594	31.3324	10.0281771	39.8844	11.1409387	33.7101	9.8715173	32.6988	9.0631271

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	186.6929	449.422279	187.9356	426.879512	197.8179	449.128993	181.1382	426.575584	185.3143	420.495915
car	74.6452	68.839299	74.6315	67.717436	69.7764	77.917937	78.7279	60.400944	75.3161	65.267686
cycle	106.4898	9.834186	71.9810	23.585706	113.4054	9.764190	107.6698	8.496937	106.2003	9.147320
motorcycle	379.8130	158.330387	378.7908	154.936563	403.0112	153.877864	384.7457	133.440444	335.2941	208.682041
other	579.0037	8.850767	576.8551	8.678959	615.2180	8.494899	580.9987	7.591910	568.4279	8.635159
truck	13.1925	4.917093	13.1925	4.917093	13.1927	4.916529	13.1925	4.917093	13.1925	4.917093
bus	13.3790	33.436231	13.4146	32.663195	14.2509	33.263574	12.4324	34.198235	13.4426	31.527419
active_travel	183.7298	459.256464	173.3172	450.465218	194.7337	458.893182	178.7561	435.072521	182.4211	429.643234

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	220.9249	531.82836	225.1195	511.33941	233.3367	529.77157	214.0847	504.16357	220.1664	499.57851
car	107.9594	99.56232	109.2410	99.12059	100.9134	112.68796	113.4262	87.02193	109.1150	94.55717
cycle	203.9329	18.83293	137.8329	45.16314	216.9489	18.67927	206.1105	16.26555	203.7158	17.54659
motorcycle	482.4430	201.11315	487.2290	199.29096	510.1167	194.77292	488.6323	169.47118	426.4847	265.43770
other	1154.4552	17.64723	1159.3226	17.44236	1224.7718	16.91159	1157.5294	15.12544	1134.5810	17.23576
truck	32.2681	12.02689	32.2681	12.02689	32.2685	12.02551	32.2681	12.02689	32.2681	12.02689
bus	22.1080	55.25121	22.3765	54.48439	23.4026	54.62468	20.6280	56.74194	22.2479	52.17874
active_travel	220.2972	550.66129	214.1153	556.50255	232.7379	548.45083	213.8261	520.42912	219.5648	517.12510

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	159.6551	384.334659	160.4195	364.378869	169.5038	384.844254	154.9585	364.922921	157.9742	358.458527
car	52.4052	48.329147	52.2740	47.431147	48.9638	54.676824	55.4234	42.521502	52.7735	45.732597
cycle	55.7055	5.144323	37.6565	12.338735	59.3728	5.111988	56.3404	4.446194	55.4700	4.777785
motorcycle	307.7759	128.300704	306.2955	125.283867	327.1040	124.894961	311.6592	108.092021	271.5761	169.024942
other	292.1494	4.465854	290.5212	4.370978	310.7256	4.290484	293.2735	3.832205	286.4828	4.352046
truck	5.3937	2.010313	5.3937	2.010313	5.3937	2.010082	5.3937	2.010313	5.3937	2.010313
bus	8.2909	20.720318	8.2958	20.199333	8.8753	20.716045	7.6750	21.111817	8.3148	19.500981
active_travel	155.8147	389.478982	144.9427	376.717604	165.4799	389.956241	151.7608	369.369115	154.2255	363.236312

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	967.0854	19.9961773	964.8122	18.6959779	1060.2538	17.495752	987.9128	16.431953	872.4698	25.4488205
pedestrian	330.7639	14.4234721	321.7751	13.3185927	342.5707	14.306885	300.1548	13.716474	355.6413	14.2582304
cycle	2177.2100	2.6224495	1499.8217	16.1684445	2208.1551	2.538826	2110.3865	2.541961	2528.6782	1.7074899
truck	283.1557	1.6390309	278.8296	1.6139892	285.6881	1.653690	273.9233	1.585590	288.3461	1.6690753
bus	37.0198	0.9834186	36.3917	0.9086892	40.4671	0.915474	29.7569	1.045900	42.5432	0.8824707
active_travel	380.3955	17.0459216	565.1971	29.4870372	392.5545	16.845711	346.6432	16.258435	391.6349	15.9657203

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	1665.1620	34.430126	1662.0066	32.206102	1824.1627	30.101376	1707.6369	28.403125	1498.6672	43.714191
pedestrian	590.6472	25.756087	575.5327	23.821874	610.2209	25.484838	540.0547	24.679420	632.2619	25.348391
cycle	6365.9232	7.667755	4252.2145	45.839912	6444.6681	7.409757	6140.2447	7.395925	7675.3110	5.182754
truck	1067.5313	6.179345	1048.4863	6.069104	1078.4808	6.242725	1027.5858	5.948123	1089.8009	6.308251
bus	129.9274	3.451483	127.8525	3.192432	141.9571	3.211454	104.9281	3.688030	148.8473	3.087531
active_travel	745.8839	33.423842	1335.2525	69.661786	766.5406	32.894595	683.8728	32.075345	748.9209	30.531145

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	569.1860	11.7689127	567.6767	11.0003494	624.1605	10.2995689	579.3005	9.6355052	514.9553	15.0205813
pedestrian	186.8472	8.1477603	181.5215	7.5133574	194.0162	8.1027558	168.3134	7.6915840	201.7350	8.0878790
cycle	763.7657	0.9199558	540.7091	5.8289768	776.1898	0.8924242	743.9811	0.8961252	852.8578	0.5758922
truck	76.6464	0.4436635	75.6636	0.4379742	77.2326	0.4470566	74.5128	0.4313132	77.8550	0.4506596
bus	10.5802	0.2810606	10.3910	0.2594591	11.5698	0.2617408	8.4676	0.2976222	12.1947	0.2529531
active_travel	202.3545	9.0677160	255.7412	13.3423343	209.6141	8.9951800	183.0970	8.5877092	212.5200	8.6637712

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
car	3	0.16	0.76	0		0.2	5
bus	0.28	0.01	0.06	0.54		0.02	0.92
truck	1	0.05	0.25	2		0	3
other	0.27	0.01	0.07	0.55		0.02	0.92
NOV			1	6	1	2	11
Total	5	0.23	2	10	1	2	21

			strike mode
measure	cas_mode	city	pedestrian	cycle	motorcycle	car	bus	truck	auto_rickshaw	rail	other	unknown	unknown.1
lb	auto_rickshaw	medellin	0	0	0.01	0.01	0	0	0	0	0	0	0
mean			0	0	0.07	0.05	0.03	0.03	0	0	0	0	0
ub			0	0.01	0.55	0.34	0.23	0.24	0	0	0.01	0	0

Injrury Outcomes - WHW matrices

08 December, 2022

Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW